Michele Magno

448 papers A* 13A 21B 49C 20Misc 5Journal 197Unranked 142
YearRankTypeTitle / Venue / Authors
2026 J jnl
Eco-WakeLoc: An Energy-Neutral and Cooperative UWB Real-Time Locating System.
CoRR
Silvano Cortesi, Lukas Schulthess, Davide Plozza, Christian Vogt, Michele Magno
2026 J jnl
Fast-SAM3D: 3Dfy Anything in Images but Faster.
CoRR
Weilun Feng, Mingqiang Wu, Zhiliang Chen, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiaokun Liu, Guoxin Fan, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
2026 A* conf
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models.
AAAI
Xingyu Zheng, Haotong Qin, Yuye Li, Haoran Chu, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu
2026 J jnl
Fly, Track, Land: Infrastructure-less Magnetic Localization for Heterogeneous UAV-UGV Teaming.
CoRR
Valerio Brunacci, Davide Plozza, Alessio De Angelis, Michele Magno, Tommaso Polonelli
2026 J jnl
LEVIO: Lightweight Embedded Visual Inertial Odometry for Resource-Constrained Devices.
CoRR
Jonas Kühne, Christian Vogt, Michele Magno, Luca Benini
2026 J jnl
Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Review.
CoRR
Luigi Capogrosso, Pietro Bonazzi, Michele Magno
2026 J jnl
PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation.
CoRR
Pietro Bonazzi, Nicola Farronato, Stefan Zihlmann, Haotong Qin, Michele Magno
2026 J jnl
TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection.
CoRR
Pietro Bonazzi, Rafael Sutter, Luigi Capogrosso, Mischa Buob, Michele Magno
2026 J jnl
TinyML Enhances CubeSat Mission Capabilities.
CoRR
Luigi Capogrosso, Michele Magno
2026 J jnl
WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching.
CoRR
Weilun Feng, Guoxin Fan, Haotong Qin, Chuanguang Yang, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Dingrui Wang, Longlong Liao, Michele Magno, Yongjun Xu
2025 B conf
A Cost-effective Occupancy Estimation System for Energy-efficient Buildings in Africa.
SAS
Godwin Adordie, Denis Kyalo Muuo, Philipp Schilk, Lukas Schulthess, Nathan Amanquah, Michele Magno
2025 B conf
A Low-Power, Non-Invasive and Contactless Eye Blink Detection Sensor Enabling Human-Machine Interfaces for Smart Eyewear Applications.
ETRA
Daniele Maria Crafa, Tommaso Polonelli, Carlo Pezzoli, Marco Carminati, Michele Magno
2025 J jnl
A Non-Invasive Path to Animal Welfare: Contactless Vital Signs and Activity Monitoring of In-Vivo Rodents Using a mm-Wave FMCW Radar.
CoRR
Tommaso Polonelli, Manuel Glahn, Stefano Kron, Stefan Selbert, Marco Garzola, Michele Magno
2025 J jnl
A Proximity-Based Approach for Dynamically Matching Industrial Assets and Their Operators Using Low-Power IoT Devices.
IEEE Internet Things J.
Silvano Cortesi, Michele Crabolu, Prodromos-Vasileios Mekikis, Giovanni Bellusci, Christian Vogt, Michele Magno
2025 B conf
A Small Flying IoT Node for Real-Time Spectral Monitoring in Smart Agriculture.
SAS
Tobias Mächler, Hanna Müller, Philip Wiese, Michele Magno, Victor Javier Kartsch, Luca Benini
2025 J jnl
A survey of low-bit large language models: Basics, systems, and algorithms.
Neural Networks
Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Yang Yong, Shiqiao Gu, Haotong Qin, Jinyang Guo, Dahua Lin, Michele Magno, Xianglong Liu
2025 J jnl
Aerodynamic Performance and Impact Analysis of a MEMS-Based Non-Invasive Monitoring System for Wind Turbine Blades.
IEEE Access
Nicolas Scharer, Denis Mikhaylov, Cédric Sievi, Badoui Hanna, Caroline Braud, Julien Deparday, Sarah Barber, Tommaso Polonelli, Michele Magno
2025 J jnl
An Empirical Study of Qwen3 Quantization.
CoRR
Xingyu Zheng, Yuye Li, Haoran Chu, Yue Feng, Xudong Ma, Jie Luo, Jinyang Guo, Haotong Qin, Michele Magno, Xianglong Liu
2025 — conf
An IoT Sensor Platform for Predictive Maintenance of High Voltage Circuit Breakers.
IWASI
Zoltán Marcsek, Tino Gfrörer, Tommaso Polonelli, Chi-Ching Hsu, Michele Magno, Christian M. Franck
2025 — conf
AniTrack: A Power-Efficient, Time-Slotted and Robust UWB Localization System for Animal Tracking in a Controlled Setting.
IWASI
Victor Luder, Lukas Schulthess, Silvano Cortesi, Leyla Rivero Davis, Michele Magno
2025 J jnl
AniTrack: A Power-Efficient, Time-Slotted and Robust UWB Localization System for Animal Tracking in a Controlled Setting.
CoRR
Victor Luder, Lukas Schulthess, Silvano Cortesi, Leyla Rivero Davis, Michele Magno
2025 J jnl
BiVM: Accurate Binarized Neural Network for Efficient Video Matting.
CoRR
Haotong Qin, Xianglong Liu, Xudong Ma, Lei Ke, Yulun Zhang, Jie Luo, Michele Magno
2025 J jnl
BiVM: Accurate Binarized Neural Network for Efficient Video Matting.
IEEE Trans. Pattern Anal. Mach. Intell.
Haotong Qin, Xianglong Liu, Xudong Ma, Lei Ke, Yulun Zhang, Jie Luo, Michele Magno
2025 A* conf
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models.
ICLR
Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno
2025 — conf
BodySense: An Expandable and Wearable-Sized Wireless Evaluation Platform for Human Body Communication.
I2MTC
Lukas Schulthess, Philipp Mayer, Christian Vogt, Luca Benini, Michele Magno
2025 J jnl
BodySense: An Expandable and Wearable-Sized Wireless Evaluation Platform for Human Body Communication.
CoRR
Lukas Schulthess, Philipp Mayer, Christian Vogt, Luca Benini, Michele Magno
2025 J jnl
Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning.
CoRR
Pixi Kang, Julian Moosmann, Mengxi Liu, Bo Zhou, Michele Magno, Paul Lukowicz, Sizhen Bian
2025 B conf
CUPIDO: An Analog Ultra-Low-Power and Contactless Eye Blink Detector for Smart Glasses.
SAS
Daniele M. Crafa, Tommaso Polonelli, Marco Carminati, Michele Magno
2025 — conf
DTR: Delaunay Triangulation-based Racing for Scaled Autonomous Racing.
IWASI
Luca Tognoni, Neil Reichlin, Edoardo Ghignone, Nicolas Baumann, Steven Marty, Liam Boyle, Michele Magno
2025 J jnl
DTR: Delaunay Triangulation-based Racing for Scaled Autonomous Racing.
CoRR
Luca Tognoni, Neil Reichlin, Edoardo Ghignone, Nicolas Baumann, Steven Marty, Liam Boyle, Michele Magno
2025 J jnl
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing.
CoRR
Benedict Hildisch, Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Andrea Carron, Michele Magno
2025 — conf
EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization.
IWASI
Benjamin Hodo, Tommaso Polonelli, Amirhossein Moallemi, Luca Benini, Michele Magno
2025 J jnl
EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization.
CoRR
Benjamin Hodo, Tommaso Polonelli, Amirhossein Moallemi, Luca Benini, Michele Magno
2025 B conf
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks.
SAS
Quynh Nguyen Phuong Vu, Luciano Sebastian Martínez Rau, Yuxuan Zhang, Nho-Duc Tran, Bengt Oelmann, Michele Magno, Sebastian Bader
2025 J jnl
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks.
CoRR
Quynh Nguyen Phuong Vu, Luciano S. Martínez Rau, Yuxuan Zhang, Nho-Duc Tran, Bengt Oelmann, Michele Magno, Sebastian Bader
2025 J jnl
Efficient and Accurate Downfacing Visual Inertial Odometry.
CoRR
Jonas Kühne, Christian Vogt, Michele Magno, Luca Benini
2025 J jnl
Efficient and Accurate Downfacing Visual-Inertial Odometry.
IEEE Internet Things J.
Jonas Kühne, Christian Vogt, Michele Magno, Luca Benini
2025 J jnl
ElectraSight: Fully Onboard Eye Tracking for Smart Glasses With Hybrid EOG (hEOG).
IEEE Internet Things J.
Nicolas Scharer, Federico Villani, Aishwarya Melatur, Steven Peter, Tommaso Polonelli, Michele Magno
2025 — conf
Embedded 2D LiDAR-Based Person Tracking for Safe Navigation in Assistive Autonomous Robots.
IWASI
Davide Plozza, Steven Marty, Cyril Scherrer, Simon Schwartz, Stefan Zihlmann, Michele Magno
2025 B conf
Energy-Neutral Ultra-Wideband Asset Tracking Tag for Museums.
SAS
Jonah Imfeld, Philipp Mayer, Zahra Soltani, Sanjeev Kumar, John L. Buckley, Brendan O'Flynn, Michele Magno
2025 J jnl
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models.
CoRR
Nicolas Baumann, Cheng Hu, Paviththiren Sivasothilingam, Haotong Qin, Lei Xie, Michele Magno, Luca Benini
2025 — conf
Evaluating Electric Charge Variation Sensors for Camera-free Eye Tracking on Smart Glasses.
ICECS
Alan Magdaleno, Pietro Bonazzi, Tommaso Polonelli, Michele Magno
2025 J jnl
Evaluating Electric Charge Variation Sensors for Camera-free Eye Tracking on Smart Glasses.
CoRR
Alan Magdaleno, Pietro Bonazzi, Tommaso Polonelli, Michele Magno
2025 J jnl
Event-Priori-Based Vision-Language Model for Efficient Visual Understanding.
CoRR
Haotong Qin, Cheng Hu, Michele Magno
2025 A conf
FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions.
IROS
Cheng Hu, Jihao Huang, Wule Mao, Yonghao Fu, Xuemin Chi, Haotong Qin, Nicolas Baumann, Zhitao Liu, Michele Magno, Lei Xie
2025 J jnl
FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions.
CoRR
Cheng Hu, Jihao Huang, Wule Mao, Yonghao Fu, Xuemin Chi, Haotong Qin, Nicolas Baumann, Zhitao Liu, Michele Magno, Lei Xie
2025 J jnl
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models.
CoRR
Xingyu Zheng, Haotong Qin, Yuye Li, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu
2025 J jnl
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial Off-the-Shelf Hardware.
J. Field Robotics
Nicolas Baumann, Edoardo Ghignone, Jonas Kühne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kränzlin, Tian Yi Lim, Michael Lötscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno
2025 C conf
GP-enhanced Autonomous Drifting Framework using ADMM-based iLQR.
ACC
Yangyang Xie, Cheng Hu, Nicolas Baumann, Edoardo Ghignone, Michele Magno, Lei Xie
2025 J jnl
GP-enhanced Autonomous Drifting Framework using ADMM-based iLQR.
CoRR
Yangyang Xie, Cheng Hu, Nicolas Baumann, Edoardo Ghignone, Michele Magno, Lei Xie
2025 J jnl
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.
IEEE Robotics Autom. Lett.
Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno
2025 — conf
LynX: An Event-Based Gesture Dataset for Egocentric Interaction in Extended Reality.
IWASI
Pietro Bartoli, Varsha Jayaprakash, Julian Moosmann, Philipp Mayer, Franco Zappa, Michele Magno
2025 A conf
M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing.
IROS
Nadine Imholz, Maurice Brunner, Nicolas Baumann, Edoardo Ghignone, Michele Magno
2025 J jnl
M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing.
CoRR
Nadine Imholz, Maurice Brunner, Nicolas Baumann, Edoardo Ghignone, Michele Magno
2025 A* conf
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models.
AAAI
Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
2025 J jnl
MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation.
CoRR
Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang
2025 B conf
Nano VS: a Neural Perception Layer for Fully Onboard Visual Semantic Mapping on Tiny Robots.
IJCNN
Thomas Rüegg, Marco Giordano, Tommaso Polonelli, Luca Benini, Michele Magno
2025 J jnl
Optimized Blood Pressure Prediction With a Hybrid CNN-SVR Model Using Multiwavelength PPG.
IEEE Trans. Instrum. Meas.
Chiara Botrugno, Kanika S. Dheman, Pietro Bonazzi, Francesco Dell'Olio, Michele Magno
2025 J jnl
Optimizing Energy Consumption and Coverage in Underwater Magnetic Induction-Assisted Acoustic WSNs Using Learning Automata-Based Cooperative MIMO Formation.
IEEE Trans. Netw. Sci. Eng.
Qingyan Ren, Yanjing Sun, Sizhen Bian, Michele Magno
2025 J jnl
PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications.
CoRR
Pietro Bonazzi, Nicola Farronato, Stefan Zihlmann, Haotong Qin, Michele Magno
2025 J jnl
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow.
CoRR
Liam Boyle, Jonas Kühne, Nicolas Baumann, Niklas Bastuck, Michele Magno
2025 J jnl
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow.
IEEE Robotics Autom. Lett.
Liam Boyle, Jonas Kühne, Nicolas Baumann, Niklas Bastuck, Michele Magno
2025 B conf
Position Estimation Algorithms for Head-Mounted UWB Tags: A Comparative Analysis for Embedded Systems.
SAS
Aurelio Teliti, Tommaso Polonelli, Francesca Palermo, Giacomo Gervasoni, Michele Magno, Diana Trojaniello
2025 J jnl
Post-Training Quantization for Video Matting.
CoRR
Tianrui Zhu, Houyuan Chen, Ruihao Gong, Michele Magno, Haotong Qin, Kai Zhang
2025 J jnl
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.
IEEE Robotics Autom. Lett.
Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno
2025 J jnl
PuLsE: Accurate and Robust Ultrasound-Based Continuous Heart-Rate Monitoring on a Wrist-Worn IoT Device.
IEEE Internet Things J.
Marco Giordano, Christoph Leitner, Christian Vogt, Luca Benini, Michele Magno
2025 — conf
Pushing Wi-Fi HaLow to the Extreme Edge: A Performance Study on a Low-Power IoT Node.
IWASI
Nicolas Scharer, Tommaso Polonelli, Michele Magno
2025 J jnl
Q-SAM2: Accurate Quantization for Segment Anything Model 2.
CoRR
Nicola Farronato, Florian Scheidegger, Mattia Rigotti, Cristiano Malossi, Michele Magno, Haotong Qin
2025 A* conf
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers.
ICML
Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno
2025 J jnl
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers.
CoRR
Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno
2025 J jnl
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification.
CoRR
Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
2025 J jnl
Quantized Visual Geometry Grounded Transformer.
CoRR
Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
2025 J jnl
R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing.
CoRR
Maurice Brunner, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2025 B conf
RGB-Event Fusion with Self-Attention for Collision Prediction.
IJCNN
Pietro Bonazzi, Christian Vogt, Michael Jost, Haotong Qin, Lyes Khacef, Federico Paredes-Vallés, Michele Magno
2025 J jnl
RGB-Event Fusion with Self-Attention for Collision Prediction.
CoRR
Pietro Bonazzi, Christian Vogt, Michael Jost, Haotong Qin, Lyes Khacef, Federico Paredes-Vallés, Michele Magno
2025 A* conf
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.
ICRA
Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno
2025 J jnl
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.
CoRR
Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno
2025 J jnl
Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input.
CoRR
Yonghao Fu, Cheng Hu, Haokun Xiong, Zhangpeng Bao, Wenyuan Du, Edoardo Ghignone, Michele Magno, Lei Xie, Hongye Su
2025 — conf
Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small on-Track Data Input.
ITSC
Yonghao Fu, Cheng Hu, Haokun Xiong, Zhangpeng Bao, Wenyuan Du, Edoardo Ghignone, Michele Magno, Lei Xie, Hongye Su
2025 J jnl
RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning.
CoRR
Liam Boyle, Nicolas Baumann, Paviththiren Sivasothilingam, Michele Magno, Luca Benini
2025 A* conf
Robust Reinforcement Learning-Based Locomotion for Resource-Constrained Quadrupeds with Exteroceptive Sensing.
ICRA
Davide Plozza, Patricia Apostol, Paul Joseph, Simon Schläpfer, Michele Magno
2025 J jnl
Robust Reinforcement Learning-Based Locomotion for Resource-Constrained Quadrupeds with Exteroceptive Sensing.
CoRR
Davide Plozza, Patricia Apostol, Paul Joseph, Simon Schläpfer, Michele Magno
2025 J jnl
S
CoRR
Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu
2025 B conf
Self-Sustaining Multi-Sensor LoRa-Based Activity Monitoring for Community Workout Parks.
SAS
Victor Luder, Michele Magno
2025 J jnl
Self-Sustaining Multi-Sensor LoRa-Based Activity Monitoring for Community Workout Parks.
CoRR
Victor Luder, Michele Magno
2025 A* conf
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models.
ICML
Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, Xiaojuan Qi
2025 — conf
Smart Feeding Station: Non-Invasive, Automated IoT Monitoring of Goodman's Mouse Lemurs in a Semi-Natural Rainforest Habitat.
I2MTC
Jonas Peter, Victor Luder, Leyla Rivero Davis, Lukas Schulthess, Michele Magno
2025 J jnl
Smart Feeding Station: Non-Invasive, Automated IoT Monitoring of Goodman's Mouse Lemurs in a Semi-Natural Rainforest Habitat.
CoRR
Jonas Peter, Victor Luder, Leyla Rivero Davis, Lukas Schulthess, Michele Magno
2025 — conf
Sub-Millisecond Event-Based Eye Tracking on a Resource-Constrained Microcontroller.
IWASI
Marco Giordano, Pietro Bonazzi, Luca Benini, Michele Magno
2025 J jnl
Sub-Millisecond Event-Based Eye Tracking on a Resource-Constrained Microcontroller.
CoRR
Marco Giordano, Pietro Bonazzi, Luca Benini, Michele Magno
2025 J jnl
TinyCenterSpeed: Efficient Center-Based Object Detection for Autonomous Racing.
CoRR
Neil Reichlin, Nicolas Baumann, Edoardo Ghignone, Michele Magno
2025 B conf
TinyEEGConformer: An Attention-Based EEG Decoding Model for Embedded Systems.
SAS
Nana Ofosu Asante, Lan Mei, Xiaying Wang, Michele Magno
2025 B conf
Towards Event-Driven Aerodynamic Monitoring of Wind Turbine Blades Using PVDF and MEMS Sensors.
SAS
Lisa Odermatt, Nicolas Scharer, Tommaso Polonelli, Julien Deparday, Michele Magno
2025 — conf
Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone.
CVPR Workshops
Pietro Bonazzi, Christian Vogt, Michael Jost, Lyes Khacef, Federico Paredes-Vallés, Michele Magno
2025 J jnl
Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone.
CoRR
Pietro Bonazzi, Christian Vogt, Michael Jost, Lyes Khacef, Federico Paredes-Vallés, Michele Magno
2025 J jnl
Ultra-Lightweight Collaborative SLAM for Robot Swarms.
IEEE Access
Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
2025 — conf
Validation of a Hybrid Deep Learning Model for Real Time Monitoring of Blood Pressure.
IWASI
Chiara Botrugno, Kanika S. Dheman, Pietro Bonazzi, Giulio Trono, Pasquale Tondo, Vincenzo Scarola, Donato Lacedonia, Michele Magno, Francesco Dell'Olio
2025 — conf
WakeLoc: An Ultra-Low Power, Accurate and Scalable On-Demand RTLS using Wake-Up Radios.
INFOCOM WKSHPS
Silvano Cortesi, Christian Vogt, Michele Magno
2025 J jnl
WakeLoc: An Ultra-Low Power, Accurate and Scalable On-Demand RTLS using Wake-Up Radios.
CoRR
Silvano Cortesi, Christian Vogt, Michele Magno
2025 — conf
WakeMod: A 6.9 µW Wake-Up Radio Module with -72.6 dBm Sensitivity for On-Demand IoT.
IWASI
Lukas Schulthess, Silvano Cortesi, Michele Magno
2025 J jnl
WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT.
CoRR
Lukas Schulthess, Silvano Cortesi, Michele Magno
2025 C conf
Wireless Low-Latency Synchronization for Body-Worn Multi-Node Systems in Sports.
BSN
Nico Krull, Lukas Schulthess, Michele Magno, Luca Benini, Christoph Leitner
2025 J jnl
Wireless Low-Latency Synchronization for Body-Worn Multi-Node Systems in Sports.
CoRR
Nico Krull, Lukas Schulthess, Michele Magno, Luca Benini, Christoph Leitner
2024 — conf
A -79 dBm μ-Watt Wake-Up Receiver for Energy Efficient ISM and LoRa Communication.
I2MTC
Tommaso Polonelli, Vlad Niculescu, Thomas Burger, Michele Magno
2024 C conf
A 36nW Ultra-Wideband Wake-Up Receiver with -86dBm Sensitivity and Addressing Capabilities.
ISCAS
Federico Villani, Enea Masina, Thomas Burger, Michele Magno
2024 J jnl
A LoRa-based Energy-efficient Sensing System for Urban Data Collection.
CoRR
Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno
2024 J jnl
A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations.
CoRR
Lukas Schulthess, Fabrice Longchamp, Christian Vogt, Michele Magno
2024 J jnl
A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation.
IEEE Trans. Instrum. Meas.
Sergei Vostrikov, Thorir Mar Ingolfsson, Soley Hafthorsdottir, Christoph Leitner, Michele Magno, Luca Benini, Andrea Cossettini
2024 J jnl
A Passive and Asynchronous Wake-up Receiver for Acoustic Underwater Communication.
CoRR
Lukas Schulthess, Philipp Mayer, Luca Benini, Michele Magno
2024 J jnl
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms.
CoRR
Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu
2024 — conf
AI-Based Multi-Wavelength PPG Device for Blood Pressure Monitoring.
MeMeA
Chiara Botrugno, Kanika S. Dheman, Pietro Bonazzi, Francesco Dell'Olio, Michele Magno
2024 A* conf
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention.
ICML
Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
2024 J jnl
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention.
CoRR
Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
2024 J jnl
An empirical study of LLaMA3 quantization: from LLMs to MLLMs.
Vis. Intell.
Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
2024 J jnl
Autonomous Navigation in Dynamic Human Environments with an Embedded 2D LiDAR-based Person Tracker.
CoRR
Davide Plozza, Steven Marty, Cyril Scherrer, Simon Schwartz, Stefan Zihlmann, Michele Magno
2024 J jnl
BatDeck - Ultra Low-power Ultrasonic Ego-velocity Estimation and Obstacle Avoidance on Nano-drones.
CoRR
Hanna Müller, Victor Javier Kartsch, Michele Magno, Luca Benini
2024 J jnl
BatDeck: Advancing Nano-drone Navigation with Low-power Ultrasound-based Obstacle Avoidance.
CoRR
Hanna Müller, Victor Javier Kartsch, Michele Magno, Luca Benini
2024 A* conf
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs.
ICML
Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
2024 J jnl
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs.
CoRR
Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
2024 J jnl
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey.
CoRR
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno
2024 J jnl
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno
2024 A conf
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking.
IROS
Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno
2024 J jnl
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking.
CoRR
Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno
2024 — conf
CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics.
I2MTC
Victor Luder, Sizhen Bian, Michele Magno
2024 J jnl
CycloWatt: An Affordable, TinyML-enhanced IoT Device Revolutionizing Cycling Power Metrics.
CoRR
Victor Luder, Sizhen Bian, Michele Magno
2024 J jnl
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units.
CoRR
Liam Boyle, Julian Moosmann, Nicolas Baumann, Seonyeong Heo, Michele Magno
2024 — conf
Earable and Wrist-worn Setup for Accurate Step Counting Utilizing Body-Area Electrostatic Sensing.
UbiComp Companion
Sizhen Bian, Rakita Strahinja, Philipp Schilk, Clénin Marc-André, Silvano Cortesi, Kanika S. Dheman, Elio Reinschmidt, Michele Magno
2024 J jnl
Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems.
IEEE Access
Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
2024 J jnl
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware.
CoRR
Nicolas Baumann, Edoardo Ghignone, Jonas Kühne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kränzlin, Tian Yi Lim, Michael Lötscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno
2024 J jnl
Frequency Matters: Comparative Analysis of Low-Power FMCW Radars for Vital Sign Monitoring.
IEEE Trans. Instrum. Meas.
Steven Marty, Andrea Ronco, Federico Pantanella, Kanika S. Dheman, Michele Magno
2024 A* conf
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans.
ICRA
Nicky Zimmerman, Hanna Müller, Michele Magno, Luca Benini
2024 J jnl
Fully Onboard SLAM for Distributed Mapping With a Swarm of Nano-Drones.
IEEE Internet Things J.
Carl Friess, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
2024 J jnl
GWQ: Gradient-Aware Weight Quantization for Large Language Models.
CoRR
Yihua Shao, Siyu Liang, Xiaolin Lin, Zijian Ling, Zixian Zhu, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Yilan Meng, Chenyu Zhang, Haotong Qin, Michele Magno, Yang Yang, Zhen Lei, Yan Wang, Jingcai Guo, Ling Shao, Hao Tang
2024 J jnl
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing.
CoRR
Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini
2024 J jnl
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study.
CoRR
Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
2024 J jnl
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.
CoRR
Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno
2024 J jnl
Low Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs.
CoRR
Jonas Kühne, Michele Magno, Luca Benini
2024 J jnl
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models.
CoRR
Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
2024 J jnl
Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT.
CoRR
Andrea Ronco, Lukas Schulthess, David Zehnder, Michele Magno
2024 J jnl
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots.
IEEE Internet Things J.
Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
2024 — conf
Noise Analysis and Modeling of the PMD Flexx2 Depth Camera for Robotic Applications.
COINS
Yuke Cai, Davide Plozza, Steven Marty, Paul Joseph, Michele Magno
2024 J jnl
Noise Analysis and Modeling of the PMD Flexx2 Depth Camera for Robotic Applications.
CoRR
Yuke Cai, Davide Plozza, Steven Marty, Paul Joseph, Michele Magno
2024 J jnl
On-Device Training Empowered Transfer Learning For Human Activity Recognition.
CoRR
Pixi Kang, Julian Moosmann, Sizhen Bian, Michele Magno
2024 Misc conf
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface.
ISWC
Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno
2024 J jnl
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface.
CoRR
Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno
2024 J jnl
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.
CoRR
Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno
2024 — conf
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis.
AICAS
Pietro Bonazzi, Yawei Li, Sizhen Bian, Michele Magno
2024 J jnl
RF Power Transmission for Self-sustaining Miniaturized IoT Devices.
CoRR
Lukas Schulthess, Federico Villani, Philipp Mayer, Michele Magno
2024 — conf
Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware.
CVPR Workshops
Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno
2024 A conf
Robustness Evaluation of Localization Techniques for Autonomous Racing.
DATE
Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2024 J jnl
Robustness Evaluation of Localization Techniques for Autonomous Racing.
CoRR
Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2024 J jnl
Self-Sustaining Ultrawideband Positioning System for Event-Driven Indoor Localization.
IEEE Internet Things J.
Philipp Mayer, Michele Magno, Luca Benini
2024 J jnl
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning.
CoRR
Marco Giordano, Kanika S. Dheman, Michele Magno
2024 J jnl
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models.
CoRR
Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi
2024 J jnl
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs.
IEEE Internet Things J.
Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini
2024 A conf
SwiftEagle: An Advanced Open-Source, Miniaturized FPGA UAS Platform with Dual DVS/Frame Camera for Cutting-Edge Low-Latency Autonomous Algorithms.
IROS
Christian Vogt, Michael Jost, Michele Magno
2024 — conf
TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars.
IoTDI
Andrea Ronco, Philipp Schilk, Michele Magno
2024 — conf
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors.
I2MTC
Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno
2024 J jnl
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors.
CoRR
Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno
2024 — conf
Towards a non-Invasive Monitoring System for Wind Turbine Blades.
I2MTC
Nicolas Scharer, Tommaso Polonelli, Julien Deparday, Michele Magno
2024 — conf
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO.
ECCV Workshops (23)
Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno
2024 J jnl
Ultra-Lightweight Collaborative Mapping for Robot Swarms.
CoRR
Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
2024 A conf
Work in Progress: Linear Transformers for TinyML.
DATE
Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini
2024 — conf
i-CardiAx: Wearable IoT-Driven System for Early Sepsis Detection Through Long-Term Vital Sign Monitoring.
IoTDI
Kanika S. Dheman, Marco Giordano, Cyriac Thomas, Philipp Schilk, Michele Magno
2024 — conf
i-Flow: Design and evaluation of a wearable uroflowmeter with non-invasive low power bio-impedance sensing.
EMBC
Kanika S. Dheman, Manuel Glahn, Michele Magno
2023 — conf
3D Hand Tracking with Induced Magnetic Field.
PerCom Workshops
Sizhen Bian, Bo Zhou, Paul Lukowicz, Mengxi Liu, Michele Magno, Kexuan Guo
2023 — conf
A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications.
IWASI
Jonas Kühne, Michele Magno, Luca Benini
2023 — conf
A LoRa-based Energy-efficient Sensing System for Urban Data Collection.
IWASI
Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno
2023 — conf
A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations.
ENSsys@SenSys
Lukas Schulthess, Fabrice Longchamp, Christian Vogt, Michele Magno
2023 J jnl
A Low-Power Neuromorphic Approach for Efficient Eye-Tracking.
CoRR
Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno
2023 A conf
A Relative Infrastructure-less Localization Algorithm for Decentralized and Autonomous Swarm Formation.
IROS
Dominik Schindler, Vlad Niculescu, Tommaso Polonelli, Daniele Palossi, Luca Benini, Michele Magno
2023 B conf
A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation.
SAS
Matthias Steiner, Nicolas Baumann, Luzian Lebovitz, Michele Magno
2023 J jnl
A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines.
IEEE Access
Tommaso Polonelli, Amirhossein Moallemi, Weikang Kong, Hanna Müller, Julien Deparday, Michele Magno, Luca Benini
2023 J jnl
A Unified Sensor Platform for Investigating Corona Effects on Overhead Lines.
IEEE Trans. Instrum. Meas.
Pascal Bleuler, Tommaso Polonelli, Yu Xiao, Benjamin Stadler, Lorenz Gallina, Hannah Kirchner, Michele Magno, Christian M. Franck
2023 — conf
Advancing Freight Train Integrity Monitoring for Next-Generation Railway Signaling Using UWB Ranging.
WF-IoT
Denis Mikhaylov, Fu Zheng, Philipp Mayer, Christian Vogt, Tommaso Polonelli, Michele Magno
2023 J jnl
Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node.
IEEE Trans. Instrum. Meas.
Tobias Margiani, Silvano Cortesi, Milena Keller, Christian Vogt, Tommaso Polonelli, Michele Magno
2023 — conf
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study.
WF-IoT
Michael Lötscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno
2023 J jnl
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study.
CoRR
Michael Loetscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno
2023 — conf
Automated Assessment and Guidance of Project Work.
AIED (Posters/Late Breaking Results/...)
Victoria Abou Khalil, Andrew Vargo, Rwitajit Majumdar, Michele Magno, Manu Kapur
2023 — conf
Blade Position and Motion Estimation on the Surface of a Rotating Wind Turbine Through a Single MEMS IMU.
IWASI
Phillip Trummer, Tommaso Polonelli, Julien Deparday, Imad Abdallah, Michele Magno
2023 C conf
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications.
ISCAS
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno
2023 J jnl
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications.
CoRR
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno
2023 — conf
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras.
IWASI
Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno
2023 J jnl
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras.
CoRR
Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno
2023 J jnl
Comparison between an RSSI- and an MCPD-Based BLE Indoor Localization System.
Comput.
Silvano Cortesi, Christian Vogt, Michele Magno
2023 — conf
Considerations when automating the assessment and guidance of Project Work (invited paper).
AAGPW@AIED
Victoria Abou Khalil, Andrew Vargo, Rwitajit Majumdar, Michele Magno, Manu Kapur
2023 — conf
Coverage Guaranteed Cooperative MIMO Formation for Underwater MI-Assisted Acoustic WSNs.
ICC
Qingyan Ren, Yanjing Sun, Michele Magno
2023 — conf
Demo Abstract: In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms.
IoTDI
Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno
2023 — conf
Design and Evaluation of a LoRa Controlled Rugged Multisensor Unit for Induced Rockfall Experiments.
IWASI
Philipp Mayer, Rabea Rogge, Andrin Caviezel, Jessica Munch, Adrian Ringenbach, Michele Magno, Luca Benini
2023 J jnl
Design and Implementation of an RSSI-Based Bluetooth Low Energy Indoor Localization System.
CoRR
Silvano Cortesi, Marc Dreher, Michele Magno
2023 J jnl
Efficient Inference With Model Cascades.
Trans. Mach. Learn. Res.
Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K. Müller
2023 — conf
Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform.
AICAS
Amélie Gruel, Alfio Di Mauro, Robin Hunziker, Luca Benini, Jean Martinet, Michele Magno
2023 — conf
Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices.
ENSsys@SenSys
Marco Giordano, Silvano Cortesi, Prodromos-Vasileios Mekikis, Michele Crabolu, Giovanni Bellusci, Michele Magno
2023 J jnl
Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices.
CoRR
Marco Giordano, Silvano Cortesi, Prodromos-Vasileios Mekikis, Michele Crabolu, Giovanni Bellusci, Michele Magno
2023 J jnl
Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV.
IEEE Internet Things J.
Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini
2023 — conf
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications.
SENSORS
Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno
2023 J jnl
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications.
CoRR
Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno
2023 J jnl
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition.
CoRR
Sizhen Bian, Michele Magno
2023 Misc conf
Evaluating Spiking Neural Network on Neuromorphic Platform For Human Activity Recognition.
ISWC
Sizhen Bian, Michele Magno
2023 — conf
Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes.
SENSORS
Jonah Imfeld, Silvano Cortesi, Philipp Mayer, Michele Magno
2023 J jnl
Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes.
CoRR
Jonah Imfeld, Silvano Cortesi, Philipp Mayer, Michele Magno
2023 J jnl
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems.
CoRR
Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
2023 — conf
Fully Automatic Gym Exercises Recording: An IoT Solution.
MetroInd4.0&IoT
Sizhen Bian, Alexander Rupp, Michele Magno
2023 J jnl
Fully Automatic Gym Exercises Recording: An IoT Solution.
CoRR
Sizhen Bian, Alexander Rupp, Michele Magno
2023 A conf
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs.
DATE
Hanna Müller, Nicky Zimmerman, Tommaso Polonelli, Michele Magno, Jens Behley, Cyrill Stachniss, Luca Benini
2023 J jnl
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans.
CoRR
Nicky Zimmerman, Hanna Müller, Michele Magno, Luca Benini
2023 J jnl
Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones.
CoRR
Carl Friess, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
2023 B conf
Grayscale and Event-Based Sensor Fusion for Robust Steering Prediction for Self-Driving Cars.
SAS
Luca Pascarella, Michele Magno
2023 B conf
Improving Data-Scarce Image Classification Through Multimodal Synthetic Data Pretraining.
SAS
Carl Brander, Cristian Cioflan, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini
2023 — conf
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms.
IoTDI
Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno
2023 J jnl
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms.
CoRR
Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno
2023 J jnl
Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines.
IEEE Instrum. Meas. Mag.
Tommaso Polonelli, Julien Deparday, Imad Abdallah, Sarah Barber, Eleni N. Chatzi, Michele Magno
2023 — conf
Investigation of mmWave Radar Technology For Non-contact Vital Sign Monitoring.
MeMeA
Steven Marty, Federico Pantanella, Andrea Ronco, Kanika S. Dheman, Michele Magno
2023 — conf
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the Edge.
AICAS
Thomas Rüegg, Marco Giordano, Michele Magno
2023 J jnl
Latency and Power Consumption in 2.4 GHz IoT Wireless Mesh Nodes: An Experimental Evaluation of Bluetooth Mesh and Wirepas Mesh.
CoRR
Silvano Cortesi, Christian Vogt, Elio Reinschmidt, Michele Magno
2023 B conf
Latency and Power Consumption in 2.4GHz IoT Wireless Mesh Nodes: An Experimental Evaluation of Bluetooth Mesh and Wirepas Mesh.
WiMob
Silvano Cortesi, Christian Vogt, Elio Reinschmidt, Michele Magno
2023 A conf
Learning continuous piecewise non-linear activation functions for deep neural networks.
ICME
Xinchen Gao, Yawei Li, Wen Li, Lixin Duan, Luc Van Gool, Luca Benini, Michele Magno
2023 A conf
LocalViT: Analyzing Locality in Vision Transformers.
IROS
Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool
2023 — conf
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture.
I2MTC
Seonyeong Heo, Nicolas Baumann, Carla Margelisch, Marco Giordano, Michele Magno
2023 A* conf
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing.
ICRA
Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2023 J jnl
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots.
CoRR
Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
2023 — conf
Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices.
WF-IoT
Marco Giordano, Silvano Cortesi, Michele Crabolu, Lavinia Pedrollo, Giovanni Bellusci, Tommaso Bendinelli, Engin Türetken, L. Andrea Dunbar, Michele Magno
2023 J jnl
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation.
CoRR
Jonas Kühne, Michele Magno, Luca Benini
2023 — conf
Poster Abstract: A Human Body Power Transfer System to Enable Battery-Less Sensor Nodes.
IoTDI
Rabea Rogge, Lukas Schulthess, Christian Vogt, Michele Magno
2023 — conf
Poster Abstract: A LoRa-based Energy-Efficient Sensing System for Urban Computing.
IoTDI
Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno
2023 — conf
Poster Abstract: Battery-free and Passive Wake-up Receiver for Underwater Communication.
IoTDI
Lukas Schulthess, Philipp Mayer, Michele Magno
2023 — conf
Poster Abstract: Contactless Vital Sign Monitoring using Low-Power FMCW Radar.
IoTDI
Steven Marty, Kanika S. Dheman, Michele Magno
2023 J jnl
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis.
CoRR
Pietro Bonazzi, Julian Moosmann, Yawei Li, Sizhen Bian, Michele Magno
2023 — conf
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images.
SENSORS
Julian Moosmann, Jakub Mandula, Philipp Mayer, Luca Benini, Michele Magno
2023 J jnl
Robust and Efficient Depth-Based Obstacle Avoidance for Autonomous Miniaturized UAVs.
IEEE Trans. Robotics
Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
2023 — conf
Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks.
WF-IoT
Andrea Mattei, Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini
2023 B conf
Simultaneous neuromorphic selection of multiple salient objects for event vision.
IJCNN
Amélie Gruel, Jean Martinet, Michele Magno
2023 — conf
Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping.
BioCAS
Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke, Michele Magno, Luca Benini, Christoph Leitner
2023 J jnl
Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping.
CoRR
Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke, Michele Magno, Luca Benini, Christoph Leitner
2023 J jnl
TC-Driver: A Trajectory Conditioned Reinforcement Learning Approach to Zero-Shot Autonomous Racing.
Field Robotics
Edoardo Ghignone, Nicolas Baumann, Michele Magno
2023 C conf
TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification.
ISCAS
Lukas Schulthess, Steven Marty, Matilde Dirodi, Mariana D. Rocha, Linus Rüttimann, Richard H. R. Hahnloser, Michele Magno
2023 — conf
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation.
SENSORS
Pietro Bonazzi, Thomas Rüegg, Sizhen Bian, Yawei Li, Michele Magno
2023 J jnl
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation.
CoRR
Pietro Bonazzi, Thomas Rüegg, Sizhen Bian, Yawei Li, Michele Magno
2023 — conf
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers.
AICAS
Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno
2023 J jnl
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers.
CoRR
Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno
2023 J jnl
Toward the Future Generation of Railway Localization Exploiting RTK and GNSS.
IEEE Trans. Instrum. Meas.
Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Charles Moatti, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini
2023 — conf
Towards Enhanced Bladder Volume Measurement with Context-Aware Bio-Impedance Sensor Fusion.
SENSORS
Kanika S. Dheman, Manuel Glahn, Michele Magno
2023 — conf
Towards Model Development for Sensor-Based Activity Recognition at the Construction Site.
IWASI
Carla Tettamanti, Marco Giordano, Julia Altheimer, Lukas Linhart, Michele Magno
2023 — conf
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar.
IWASI
Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno
2023 J jnl
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar.
CoRR
Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno
2023 — conf
Towards Robust and Efficient On-board Mapping for Autonomous Miniaturized UAVs.
IWASI
Tommaso Polonelli, Casimir Feldmann, Vlad Niculescu, Hanna Müller, Michele Magno, Luca Benini
2023 — conf
Towards Wearable Sweat Sensing for Glucose and Lactate: Sensors Characterisation.
IWASI
Kanika S. Dheman, Alkinoos Sariglou, Michele Magno
2023 — conf
Towards a Novel Ultrasound System Based on Low-Frequency Feature Extraction From a Fully-Printed Flexible Transducer.
BioCAS
Marco Giordano, Kirill Keller, Francesco Greco, Luca Benini, Michele Magno, Christoph Leitner
2023 J jnl
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO.
CoRR
Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno
2023 — conf
Ultra-Wideband Technology: Unlocking the Potential of Low Power IoT with Precise Localization and Energy-Efficient Wake-Up Radio.
SENSORS
Michele Magno
2022 — conf
A Low Power Infrared Sensor for Direction, Speed, Distance Finding for Contextual Intelligence.
IEEE SENSORS
Tiago Salzmann, Michele Magno
2022 A conf
A RDMA Interface for Ultra-Fast Ultrasound Data-Streaming over an Optical Link.
DATE
Andrea Cossettini, Konstantin Taranov, Christian Vogt, Michele Magno, Torsten Hoefler, Luca Benini
2022 J jnl
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines.
CoRR
Tommaso Polonelli, Hanna Müller, Weikang Kong, Raphael Fischer, Luca Benini, Michele Magno
2022 J jnl
An open platform for efficient drone-to-sensor wireless ranging and data harvesting.
Sustain. Comput. Informatics Syst.
Tommaso Polonelli, Michele Magno, Vlad Niculescu, Luca Benini, David E. Boyle
2022 B conf
Automatic Extraction of Muscle Fascicle Pennation Angle from Raw Ultrasound Data.
SAS
Soley Hafthorsdottir, Sergei Vostrikov, Andrea Cossettini, Michael Rieder, Christoph Leitner, Michele Magno, Luca Benini
2022 B conf
Cardiac monitoring with novel low power sensors measuring upper thoracic electrostatic charge variation for long lasting wearable devices.
WiMob
Kanika S. Dheman, David Werder, Michele Magno
2022 — conf
Demo Abstract: Towards Reliable Obstacle Avoidance for Nano-UAVs.
IPSN
Iman Ostovar, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini
2022 J jnl
Design and Performance Evaluation of an Ultralow-Power Smart IoT Device With Embedded TinyML for Asset Activity Monitoring.
IEEE Trans. Instrum. Meas.
Marco Giordano, Nicolas Baumann, Michele Crabolu, Raphael Fischer, Giovanni Bellusci, Michele Magno
2022 — conf
Enabling Predictive Maintenance on Electric Motors Through a Self-sustainable Wireless Sensor Node.
ApplePies
Andrea Bentivogli, Tommaso Polonelli, Michele Magno, Guido Comai
2022 — conf
Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices.
IGSC
Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno
2022 J jnl
Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes.
Sustain. Comput. Informatics Syst.
Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini
2022 J jnl
High-Accuracy Ranging and Localization With Ultrawideband Communications for Energy-Constrained Devices.
IEEE Internet Things J.
Laura Flueratoru, Silvan Wehrli, Michele Magno, Elena Simona Lohan, Dragos Niculescu
2022 J jnl
Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications.
CoRR
Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini
2022 J jnl
Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications.
IEEE Trans. Instrum. Meas.
Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini
2022 — conf
Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT.
IEEE SENSORS
Andrea Ronco, Lukas Schulthess, David Zehnder, Michele Magno
2022 J jnl
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing.
CoRR
Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2022 — conf
Neuromorphic Event-Based Spatio-temporal Attention using Adaptive Mechanisms.
AICAS
Amélie Gruel, Antonio Vitale, Jean Martinet, Michele Magno
2022 C conf
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation.
ISCAS
Jonas Kühne, Michele Magno, Luca Benini
2022 B conf
Performance Comparison between Decawave DW1000 and DW3000 in low-power double side ranging applications.
SAS
Tommaso Polonelli, Simon Schläpfer, Michele Magno
2022 — conf
Predictive Energy-Aware Adaptive Sampling with Deep Reinforcement Learning.
ICECS 2022
Seonyeong Heo, Philipp Mayer, Michele Magno
2022 — conf
RF Power Transmission for Self-sustaining Miniaturized IoT Devices.
ICECS 2022
Lukas Schulthess, Federico Villani, Philipp Mayer, Michele Magno
2022 — conf
Real-Time Low Power Audio Distortion Circuit Modeling: a TinyML Deep Learning Approach.
AICAS
Davide Plozza, Marco Giordano, Michele Magno
2022 — conf
Realtime Hand-Gesture Recognition Based on Novel Charge Variation Sensor and IMU.
IEEE SENSORS
Elio Reinschmidt, Christian Vogt, Michele Magno
2022 J jnl
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs.
CoRR
Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
2022 B conf
Self-sustainable IoT Wireless Sensor Node for Predictive Maintenance on Electric Motors.
SAS
Tommaso Polonelli, Andrea Bentivogli, Guido Comai, Michele Magno
2022 J jnl
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization.
CoRR
Philipp Mayer, Michele Magno, Luca Benini
2022 J jnl
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks.
CoRR
Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini
2022 J jnl
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini
2022 — conf
Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge.
AICAS
Marco Giordano, Luigi Piccinelli, Michele Magno
2022 — conf
Survey, Analysis and Comparison of Radar Technologies for Embedded Vital Sign Monitoring.
EMBC
Marco Giordano, Gamze Islamoglu, Viviane Potocnik, Christian Vogt, Michele Magno
2022 J jnl
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach.
CoRR
Edoardo Ghignone, Nicolas Baumann, Mike Boss, Michele Magno
2022 — conf
Tiny TCN model for Gesture Recognition With Multi-point Low power ToF-Sensors.
AICAS
Stephan Boner, Christian Vogt, Michele Magno
2022 — conf
Towards a Multi-Pixel Time-of-Flight Indoor Navigation System for Nano-Drone Applications.
I2MTC
Vlad Niculescu, Hanna Müller, Iman Ostovar, Tommaso Polonelli, Michele Magno, Luca Benini
2022 B conf
Towards lightweight deep neural network for smart agriculture on embedded systems.
SAS
Pengwei Du, Tommaso Polonelli, Michele Magno, Zhiyuan Cheng
2022 B conf
Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS.
SAS
Carla Amatetti, Tommaso Polonelli, Enea Masina, Charles Moatti, Denis Mikhaylov, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini
2022 B conf
VitalPod: A Low Power In-Ear Vital Parameter Monitoring System.
WiMob
Philipp Schilk, Kanika S. Dheman, Michele Magno
2022 B conf
WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance.
WiMob
Moritz Scherer, Fabian Sidler, Michael Rogenmoser, Michele Magno, Luca Benini
2021 Misc conf
A Battery-Free Long-Range Wireless Smart Camera for Face Recognition.
SenSys
Marco Giordano, Michele Magno
2021 B conf
Design and Implementation of an RSSI-Based Bluetooth Low Energy Indoor Localization System.
WiMob
Silvano Cortesi, Marc Dreher, Michele Magno
2021 J jnl
Energy-Positive Activity Recognition - From Kinetic Energy Harvesting to Smart Self-Sustainable Wearable Devices.
IEEE Trans. Biomed. Circuits Syst.
Philipp Mayer, Michele Magno, Luca Benini
2021 A conf
FlyDVS: An Event-Driven Wireless Ultra-Low Power Visual Sensor Node.
DATE
Alfio Di Mauro, Moritz Scherer, Jordi Fornt Mas, Basile Bougenot, Michele Magno, Luca Benini
2021 C conf
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing.
ISCAS
Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini
2021 J jnl
High-Accuracy Ranging and Localization with Ultra-Wideband Communications for Energy-Constrained Devices.
CoRR
Laura Flueratoru, Silvan Wehrli, Michele Magno, Elena Simona Lohan, Dragos Niculescu
2021 J jnl
How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes?
Sensors
Nour El Hoda Djidi, Matthieu Gautier, Antoine Courtay, Olivier Berder, Michele Magno
2021 J jnl
ImpediSense: A long lasting wireless wearable bio-impedance sensor node.
Sustain. Comput. Informatics Syst.
Kanika S. Dheman, Philipp Mayer, Manuel Eggimann, Simone Schuerle, Michele Magno
2021 Misc conf
RF Power Transmission: Energy Harvesting for Self-Sustaining Miniaturized Sensor Nodes.
SenSys
Federico Villani, Philipp Mayer, Michele Magno
2021 J jnl
RTK-LoRa: High-Precision, Long-Range, and Energy-Efficient Localization for Mobile IoT Devices.
IEEE Trans. Instrum. Meas.
Philipp Mayer, Michele Magno, Armin Berger, Luca Benini
2021 J jnl
SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications.
CoRR
Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini
2021 J jnl
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices.
CoRR
Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini
2021 J jnl
System Implementation Trade-Offs for Low-Speed Rotational Variable Reluctance Energy Harvesters.
Sensors
Ye Xu, Sebastian Bader, Michele Magno, Philipp Mayer, Bengt Oelmann
2021 J jnl
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars.
IEEE Internet Things J.
Moritz Scherer, Michele Magno, Jonas Erb, Philipp Mayer, Manuel Eggimann, Luca Benini
2021 — conf
Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes.
I2MTC
Moritz Scherer, Philipp Mayer, Alfio Di Mauro, Michele Magno, Luca Benini
2021 B conf
Ultra-Low Power Wake-Up Receiver for Location Aware Objects Operating with UWB.
WiMob
Tommaso Polonelli, Federico Villani, Michele Magno
2021 — conf
WindNode: A Long-Lasting And Long-Range Bluetooth Wireless Sensor Node for Pressure and Acoustic Monitoring on Wind Turbines.
ICPS
Raphael Fischer, Hanna Müller, Tommaso Polonelli, Luca Benini, Michele Magno
2020 — conf
A Battery-Free Long-Range Wireless Smart Camera for Face Detection.
ENSsys@SenSys
Marco Giordano, Philipp Mayer, Michele Magno
2020 — conf
A Low Power and Smart Power Unit for Kinetic Self-Sustainable Wearable Devices.
ICECS
Philipp Mayer, Michele Magno, Luca Benini
2020 A conf
A Non-invasive Wearable Bioimpedance System to Wirelessly Monitor Bladder Filling.
DATE
Markus Reichmuth, Simone Schürle, Michele Magno
2020 J jnl
A2Event: A Micro-Watt Programmable Frequency-Time Detector for Always-On Energy-Neutral Sensing.
Sustain. Comput. Informatics Syst.
Philipp Mayer, Michele Magno, Luca Benini
2020 — conf
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing.
MeMeA
Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini
2020 J jnl
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing.
CoRR
Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini
2020 C conf
An Energy-efficient Localization System for Imprecisely Positioned Sensor Nodes with Flying UAVs.
INDIN
Vlad Niculescu, Michele Magno, Daniele Palossi, Luca Benini
2020 J jnl
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things.
IEEE Internet Things J.
Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini
2020 A conf
InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting.
DATE
Michele Magno, Xiaying Wang, Manuel Eggimann, Lukas Cavigelli, Luca Benini
2020 J jnl
NB-IoT Versus LoRaWAN: An Experimental Evaluation for Industrial Applications.
IEEE Trans. Ind. Informatics
Massimo Ballerini, Tommaso Polonelli, Davide Brunelli, Michele Magno, Luca Benini
2020 B conf
Nanowatt Clock and Data Recovery for Ultra-Low Power Wake-Up Based Receivers.
EWSN
Matteo D'Addato, Alessio Antolini, Francesco Renzini, Alessia Maria Elgani, Luca Perilli, Eleonora Franchi Scarselli, Antonio Gnudi, Michele Magno, Roberto Canegallo
2020 B conf
On the Energy Consumption and Ranging Accuracy of Ultra-Wideband Physical Interfaces.
GLOBECOM
Laura Flueratoru, Silvan Wehrli, Michele Magno, Dragos Niculescu
2020 B conf
Opportunistic Cluster Heads for Heterogeneous Networks Combining LoRa and Wake-up Radio.
EWSN
Nour El Hoda Djidi, Antoine Courtay, Matthieu Gautier, Olivier Berder, Michele Magno
2020 J jnl
Piepser 2.0: A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime.
IEEE Trans. Instrum. Meas.
Nicolas Baumann, Michael Ganz, Michele Magno
2020 A conf
Sound event detection with binary neural networks on tightly power-constrained IoT devices.
ISLPED
Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Elisabetta Farella, Michele Magno, Luca Benini
2020 J jnl
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range Radars.
CoRR
Moritz Scherer, Michele Magno, Jonas Erb, Philipp Mayer, Manuel Eggimann, Luca Benini
2020 J jnl
Wireless, Artefact Aware Impedance Sensor Node for Continuous Bio-Impedance Monitoring.
IEEE Trans. Biomed. Circuits Syst.
Kanika S. Dheman, Philipp Mayer, Michele Magno, Simone Schuerle
2019 — conf
A RISC-V Based Open Hardware Platform for Always-On Wearable Smart Sensing.
IWASI
Manuel Eggimann, Stefan Mach, Michele Magno, Luca Benini
2019 J jnl
A Wake-Up Radio-Based MAC Protocol for Autonomous Wireless Sensor Networks.
IEEE/ACM Trans. Netw.
Alain Pegatoquet, Trong Nhan Le, Michele Magno
2019 C conf
An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications.
ISCAS
Mario Osta, Ali Ibrahim, Michele Magno, Manuel Eggimann, Antonio Pullini, Paolo Gastaldo, Maurizio Valle
2019 — conf
EdgeEye: A Long-Range Energy-Efficient Vision Node For Long-Term Edge Computing.
IGSC
Simon Benninger, Michele Magno, Andres Gomez, Luca Benini
2019 — conf
EmbedUWB: Low Power Embedded High-Precision and Low Latency UWB Localization.
WF-IoT
Philipp Mayer, Michele Magno, Christoph Schnetzler, Luca Benini
2019 — conf
Energy Harvesting Meets IoT: Fuelling Adoption of Transient Computing in Embedded Systems.
WF-IoT
Domenico Balsamo, Michele Magno, Kacper Kubara, Bogdan Lazarescu, Geoff V. Merrett
2019 — conf
Energy-autonomous On-rotor RPM Sensor Using Variable Reluctance Energy Harvesting.
IWASI
Ye Xu, Sebastian Bader, Michele Magno, Philipp Mayer, Bengt Oelmann
2019 C conf
Experimental Evaluation on NB-IoT and LoRaWAN for Industrial and IoT Applications.
INDIN
Massimo Ballerini, Tommaso Polonelli, Davide Brunelli, Michele Magno, Luca Benini
2019 J jnl
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things.
CoRR
Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini
2019 — conf
FANNCortexM: An Open Source Toolkit for Deployment of Multi-layer Neural Networks on ARM Cortex-M Family Microcontrollers : Performance Analysis with Stress Detection.
WF-IoT
Michele Magno, Lukas Cavigelli, Philipp Mayer, Ferdinand von Hagen, Luca Benini
2019 J jnl
FPGA Implementation of a Kalman-Based Motion Estimator for Levitated Nanoparticles.
IEEE Trans. Instrum. Meas.
Jiawei Liao, Michael Jost, Michael Schaffner, Michele Magno, Matthias Korb, Luca Benini, Felix Tebbenjohanns, René Reimann, Vijay Jain, Michael Gross, Andrei Militaru, Martin Frimmer, Lukás Novotný
2019 J jnl
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data.
CoRR
Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini
2019 B conf
Hidden Markov Model-Based Asthmatic Wheeze Recognition Algorithm Leveraging the Parallel Ultra-Low-Power Processor (PULP).
SAS
Dinko Oletic, Marko Matijascic, Vedran Bilas, Michele Magno
2019 — conf
LoRa vs. LoRa: In-Field Evaluation and Comparison For Long-Lifetime Sensor Nodes.
IWASI
Philipp Mayer, Michele Magno, Thomas Brunner, Luca Benini
2019 — conf
Low Power Embedded Gesture Recognition Using Novel Short-Range Radar Sensors.
IEEE SENSORS
Manuel Eggimann, Jonas Erb, Philipp Mayer, Michele Magno, Luca Benini
2019 — conf
NETWIS: A Scalable and Robust Body Sensor Network For Biomedical Application.
IWASI
Massimo Ballerini, Michele Magno, Davide Brunelli, Guido Cornai, Luca Benini
2019 B conf
Piepser: A Smart Wrist-Worn Variometer To Maximize The Paragliders Flytime.
SAS
Tim Fischer, Michael Ganz, Nicolas Baumann, Michele Magno
2019 J jnl
Self-Sustainable Smart Ring for Long-Term Monitoring of Blood Oxygenation.
IEEE Access
Michele Magno, Giovanni A. Salvatore, Petar Jokic, Luca Benini
2019 J jnl
Self-Sustaining Acoustic Sensor With Programmable Pattern Recognition for Underwater Monitoring.
IEEE Trans. Instrum. Meas.
Philipp Mayer, Michele Magno, Luca Benini
2019 J jnl
SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring.
Sensors
Michele Magno, Lukas Sigrist, Andres Gomez, Lukas Cavigelli, Antonio Libri, Emanuel M. Popovici, Luca Benini
2019 B conf
SmartAid: A Low-Power Smart Hearing Aid For Stutterers.
SAS
Moritz Scherer, Kiran Menachery, Michele Magno
2019 — conf
TinyBird: An Energy Neutral Acoustic Bluetooth-Low-Energy Sensor Node with RF Energy Harvesting.
ENSsys@SenSys
Oliver Brunecker, Michele Magno
2019 — conf
Wireless Power Transmission Powering Miniaturized Low Power IoT devices: A Revie.
IWASI
Louis Meile, Anja Ulrich, Michele Magno
2019 A conf
ZeroPowerTouch: Zero-Power Smart Receiver for Touch Communication and Sensing in Wearable Applications.
DATE
Philipp Mayer, Raphael Strebel, Michele Magno
2018 — conf
A Self-Sustaining Micro-Watt Programmable Smart Audio Sensor for Always-On Sensing.
IGSC
Michele Magno, Philipp Mayer, Luca Benini
2018 J jnl
An Energy Efficient E-Skin Embedded System for Real-Time Tactile Data Decoding.
J. Low Power Electron.
Michele Magno, Ali Ibrahim, Antonio Pullini, Maurizio Valle, Luca Benini
2018 B conf
An accurate system for optimal state estimation of a levitated nanoparticle.
SAS
Michael Jost, Michael Schaffner, Michele Magno, Matthias Korb, Luca Benini, René Reimann, Vijay Jain, Michael Gross, Andrei Militaru, Martin Frimmer, Lukás Novotný
2018 — conf
Combining LoRa and RTK to achieve a high precision self-sustaining geo-localization system: poster abstract.
IPSN
Michele Magno, Stefan Rickli, Josefine Quack, Oliver Brunecker, Luca Benini
2018 B conf
Combining microbial fuel cell and ultra-low power event-driven audio detector for zero-power sensing in underwater monitoring.
SAS
Philipp Mayer, Michele Magno, Luca Benini
2018 J jnl
Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments.
IEEE Trans. Instrum. Meas.
Andrin Caviezel, Michael Schaffner, Lukas Cavigelli, Pascal Niklaus, Yves Bühler, Perry Bartelt, Michele Magno, Luca Benini
2018 — conf
Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array.
BioCAS
Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini
2018 B conf
KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs.
WiMob
Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini
2018 J jnl
KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs.
CoRR
Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini
2018 J jnl
Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks.
Sensors
Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini
2018 J jnl
Long-short range communication network leveraging LoRa™ and wake-up receiver.
Microprocess. Microsystems
Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Mickaël Le Gentil, Olivier Berder, Luca Benini
2018 — conf
Nanowatt Wake-Up Radios: Discrete-Components and Integrated Architectures.
ICECS
Alessia Maria Elgani, Michele Magno, Francesco Renzini, Luca Perilli, Eleonora Franchi Scarselli, Antonio Gnudi, Roberto Canegallo, Giulio Ricotti, Luca Benini
2018 J jnl
On-Demand LoRa: Asynchronous TDMA for Energy Efficient and Low Latency Communication in IoT.
Sensors
Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini
2018 B conf
On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver.
WiMob
Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini
2018 J jnl
On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver.
CoRR
Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini
2018 C conf
Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor.
HealthCom
Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini
2018 J jnl
Selected Articles from the NGCAS 2017 Conference.
J. Low Power Electron.
Maurizio Valle, Ali Ibrahim, Maurizio Martina, Michele Magno
2018 C conf
Smart Wearable Wristband for EMG based Gesture Recognition Powered by Solar Energy Harvester.
ISCAS
Victor Javier Kartsch, Simone Benatti, Mattia Mancini, Michele Magno, Luca Benini
2018 — conf
Time-frequency pattern wake-up detector for low-power always-on sensing of acoustic events.
I2MTC
Dinko Oletic, Luka Korman, Michele Magno, Vedran Bilas
2018 — conf
Zero-power receiver for touch communication and touch sensing: poster abstract.
IPSN
Raphael Strebel, Michele Magno
2017 J jnl
A Generic Framework for Modeling MAC Protocols in Wireless Sensor Networks.
IEEE/ACM Trans. Netw.
Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini
2017 Misc conf
A Low-Complexity Eyewear System for Direction-based Augmented Reality Applications.
SenSys
Gabriele Miorandi, Davide Quaglia, Federico Fraccaroli, Walter Vendraminetto, Enrico Giordano, Michele Magno
2017 J jnl
Accelerated Visual Context Classification on a Low-Power Smartwatch.
IEEE Trans. Hum. Mach. Syst.
Francesco Conti, Daniele Palossi, Renzo Andri, Michele Magno, Luca Benini
2017 — conf
DeepEmote: Towards multi-layer neural networks in a low power wearable multi-sensors bracelet.
IWASI
Michele Magno, Michael Pritz, Philipp Mayer, Luca Benini
2017 — conf
Energy Efficient System for Tactile Data Decoding Using an Ultra-Low Power Parallel Platform.
NGCAS
Michele Magno, Ali Ibrahim, Antonio Pullini, Maurizio Valle, Luca Benini
2017 J jnl
Energy-Efficient Context Aware Power Management with Asynchronous Protocol for Body Sensor Network.
Mob. Networks Appl.
Michele Magno, Tommaso Polonelli, Filippo Casamassima, Andres Gomez, Elisabetta Farella, Luca Benini
2017 J jnl
Kinetic AC/DC Converter for Electromagnetic Energy Harvesting in Autonomous Wearable Devices.
IEEE Trans. Circuits Syst. II Express Briefs
Robin Bolt, Michele Magno, Thomas Burger, Aldo Romani, Luca Benini
2017 — conf
Long-term monitoring of small-sized birds using a miniaturized bluetooth-low-energy sensor node.
IEEE SENSORS
Michele Magno, Fabien Vultier, Bence Szebedy, Luca Benini
2017 C conf
Powering smart wearable systems with flexible solar energy harvesting.
ISCAS
Petar Jokic, Michele Magno
2017 — ed.
Sensor Systems and Software - 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers
S-CUBE
Michele Magno, Fabien Ferrero, Vedran Bilas
2017 — conf
Target following on nano-scale Unmanned Aerial Vehicles.
IWASI
Daniele Palossi, Jaskirat Singh, Michele Magno, Luca Benini
2017 A conf
WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication.
DATE
Michele Magno, Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder, Luca Benini
2017 — conf
Wearable Energy Harvesting: From body to battery.
DTIS
Michele Magno, David Boyle
2016 — conf
A Dual Processor Energy-Efficient Platform with Multi-core Accelerator for Smart Sensing.
S-CUBE
Antonio Pullini, Stefan Mach, Michele Magno, Luca Benini
2016 C conf
A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication.
DSD
Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini
2016 — conf
A dual-band wake-up radio for ultra-low power Wireless Sensor Networks.
WiSNet
Massimo Del Prete, Diego Masotti, Alessandra Costanzo, Michele Magno, Luca Benini
2016 B conf
A wake-up receiver with ad-hoc antenna co-design for wearable applications.
SAS
Tommaso Polonelli, Trinh Le Huy, Leonardo Lizzi, Fabien Ferrero, Michele Magno
2016 J jnl
An Energy Aware Adaptive Sampling Algorithm for Energy Harvesting WSN with Energy Hungry Sensors.
Sensors
Bruno Srbinovski, Michele Magno, Fiona Edwards Murphy, Vikram Pakrashi, Emanuel M. Popovici
2016 B conf
Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols.
GLOBECOM
Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini
2016 C conf
Autonomous smartwatch with flexible sensors for accurate and continuous mapping of skin temperature.
ISCAS
Michele Magno, Giovanni A. Salvatore, Severin Mutter, Waleed Farrukh, Gerhard Tröster, Luca Benini
2016 J jnl
Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks.
CoRR
Lukas Cavigelli, Dominic Bernath, Michele Magno, Luca Benini
2016 J jnl
Design, Implementation, and Performance Evaluation of a Flexible Low-Latency Nanowatt Wake-Up Radio Receiver.
IEEE Trans. Ind. Informatics
Michele Magno, Vana Jelicic, Bruno Srbinovski, Vedran Bilas, Emanuel M. Popovici, Luca Benini
2016 A conf
Dynamic energy burst scaling for transiently powered systems.
DATE
Andres Gomez, Lukas Sigrist, Michele Magno, Luca Benini, Lothar Thiele
2016 — conf
Evaluation of synchronization protocols for fine-grain HPC sensor data time-stamping and collection.
HPCS
Antonio Libri, Andrea Bartolini, Michele Magno, Luca Benini
2016 J jnl
InfiniTime: Multi-sensor wearable bracelet with human body harvesting.
Sustain. Comput. Informatics Syst.
Michele Magno, Davide Brunelli, Lukas Sigrist, Renzo Andri, Lukas Cavigelli, Andres Gomez, Luca Benini
2016 A conf
Low-power multichannel spectro-temporal feature extraction circuit for audio pattern wake-up.
DATE
Dinko Oletic, Vedran Bilas, Michele Magno, Norbert Felber, Luca Benini
2016 — conf
Poster Abstract: An Ultra-Low Power Wake up Radio with Addressing and Retransmission Capabilities for Advanced Energy Efficient MAC Protocols.
IPSN
Tommaso Polonelli, Michele Magno, Luca Benini
2016 — conf
Poster Abstract: KinetiSee - A Perpetual Wearable Camera Acquisition System with a Kinetic Harvester.
IPSN
Lorenzo Spadaro, Michele Magno, Luca Benini
2016 — conf
Poster Abstract: MagoNode++ - A Wake-Up-Radio-Enabled Wireless Sensor Mote for Energy-Neutral Applications.
IPSN
Mario Paoli, Dora Spenza, Chiara Petrioli, Michele Magno, Luca Benini
2016 — conf
Poster Abstract: Wake-Up Receivers for Energy Efficient and Low Latency Communication.
IPSN
Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini
2016 — conf
Practical Implementation Aspects of the Data Timed Sending (DTS) Protocol Using Wake-up Radio (WuR).
MindCare/Fabulous
Konstantin Chomu, Vladimir Atanasovski, Liljana Gavrilovska, Michele Magno
2016 — conf
SHelmet: An Intelligent Self-sustaining Multi Sensors Smart Helmet for Bikers.
S-CUBE
Michele Magno, Angelo D'Aloia, Tommaso Polonelli, Lorenzo Spadaro, Luca Benini
2016 — conf
SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks.
S-CUBE
Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini
2016 — conf
Smart LED Lights Control Using Nano-Power Wake Up Radios.
S-CUBE
Tommaso Polonelli, Michele Magno
2016 J jnl
b+WSN: Smart beehive with preliminary decision tree analysis for agriculture and honey bee health monitoring.
Comput. Electron. Agric.
Fiona Edwards Murphy, Michele Magno, Pádraig M. Whelan, John O'Halloran, Emanuel M. Popovici
2015 B conf
A 2.4 GHz-868 MHz dual-band wake-up radio for wireless sensor network and IoT.
WiMob
Massimo Del Prete, Diego Masotti, Alessandra Costanzo, Michele Magno, Luca Benini
2015 — conf
A Smart LED Light Control System for Environmentally Friendly Buildings.
ApplePies
Michele Magno, Tommaso Polonelli, Luca Benini
2015 A* conf
Accelerating real-time embedded scene labeling with convolutional networks.
DAC
Lukas Cavigelli, Michele Magno, Luca Benini
2015 — conf
An Energy Neutral Wearable Camera with EPD Display.
WearSys@MobiSys
Jetmir Nehani, Davide Brunelli, Michele Magno, Lukas Sigrist, Luca Benini
2015 — conf
Asynchronous on demand MAC protocol using wake-up radio in wireless body area network.
IWASI
Trong Nhan Le, Alain Pegatoquet, Michele Magno
2015 A* conf
Beyond duty cycling: Wake-up radio with selective awakenings for long-lived wireless sensing systems.
INFOCOM
Dora Spenza, Michele Magno, Stefano Basagni, Luca Benini, Mario Paoli, Chiara Petrioli
2015 — conf
Big brother for bees (3B) - Energy neutral platform for remote monitoring of beehive imagery and sound.
IWASI
Fiona Edwards Murphy, Michele Magno, Liam O'Leary, Killian Troy, Pádraig M. Whelan, Emanuel M. Popovici
2015 C conf
Context Aware Power Management Enhanced by Radio Wake Up in Body Area Networks.
EUC
Filippo Casamassima, Michele Magno, Elisabetta Farella, Luca Benini
2015 — conf
Development of an heterogeneous wireless sensor network for instrumentation and analysis of beehives.
I2MTC
Fiona Edwards Murphy, Emanuel M. Popovici, Pádraig M. Whelan, Michele Magno
2015 B conf
Energy aware adaptive sampling algorithm for energy harvesting wireless sensor networks.
SAS
Bruno Srbinovski, Michele Magno, Brendan O'Flynn, Vikram Pakrashi, Emanuel M. Popovici
2015 — conf
Extending Body Sensor Nodes' Lifetime Using a Wearable Wake-up Radio.
FABULOUS
Andres Gomez, Michele Magno, Xin Wen, Luca Benini
2015 B conf
Self-powered wireless sensor nodes for monitoring radioactivity in contaminated areas using unmanned aerial vehicles.
SAS
Andres Gomez, Marie Francine Lagadec, Michele Magno, Luca Benini
2015 — conf
Towards Internet of Things for event-driven low-power gas sensing using carbon nanotubes.
IWASI
Vana Jelicic, Michele Magno, Kiran Chikkadi, Cosmin Roman, Christofer Hierold, Vedran Bilas, Luca Benini
2015 — conf
Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch.
IoT 360 (2)
Michele Magno, Lukas Cavigelli, Renzo Andri, Luca Benini
2015 B conf
b+WSN: Smart beehive for agriculture, environmental, and honey bee health monitoring - Preliminary results and analysis.
SAS
Fiona Edwards Murphy, Michele Magno, Pádraig M. Whelan, Emanuel Popo Vici
2014 C conf
A high-sensitivity fully passive wake-up radio front-end for wireless sensor nodes.
ICCE
Pouya Kamalinejad, Kamyar Keikhosravy, Michele Magno, Shahriar Mirabbasi, Victor C. M. Leung, Luca Benini
2014 J jnl
A low power wireless node for contact and contactless heart monitoring.
Microelectron. J.
Michele Magno, Christian Spagnol, Luca Benini, Emanuel M. Popovici
2014 B conf
An ultra low power high sensitivity wake-up radio receiver with addressing capability.
WiMob
Michele Magno, Luca Benini
2014 J jnl
Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays.
IEEE Trans. Ind. Informatics
Michele Magno, David Boyle, Davide Brunelli, Emanuel M. Popovici, Luca Benini
2014 J jnl
Extended Wireless Monitoring Through Intelligent Hybrid Energy Supply.
IEEE Trans. Ind. Electron.
Michele Magno, David Boyle, Davide Brunelli, Brendan O'Flynn, Emanuel M. Popovici, Luca Benini
2014 — conf
InfiniTime: A multi-sensor energy neutral wearable bracelet.
IGCC
Michele Magno, Danilo Porcarelli, Davide Brunelli, Luca Benini
2014 — conf
Video Surveillance Applications Based on Ultra-Low Power Sensors.
ADHOCNETS
Valeria Loscrì, Michele Magno, Rosario Surace
2014 J jnl
Wake-up radio receiver based power minimization techniques for wireless sensor networks: A review.
Microelectron. J.
Michele Magno, Stevan Jovica Marinkovic, Bruno Srbinovski, Emanuel M. Popovici
2013 — conf
A Multi Harvester with Hydrogen Fuel Cell for Outdoor Applications.
ApplePies
Davide Brunelli, Michele Magno, Danilo Porcarelli, Luca Benini
2013 — conf
A power-aware multi harvester power unit with hydrogen fuel cell for embedded systems in outdoor applications.
IGCC
Michele Magno, Danilo Porcarelli, Luca Benini, Davide Brunelli
2013 A conf
A survey of multi-source energy harvesting systems.
DATE
Alex S. Weddell, Michele Magno, Geoff V. Merrett, Davide Brunelli, Bashir M. Al-Hashimi, Luca Benini
2013 — conf
A versatile biomedical wireless sensor node with novel drysurface sensors and energy efficient power management.
IWASI
Michele Magno, Luca Benini, L. Gaggero, J. P. La Torre Aro, Emanuel M. Popovici
2013 — conf
Combination of hybrid energy harvesters with MEMS piezoelectric and nano-Watt radio wake up to extend lifetime of system for wireless sensor nodes.
ARCS Workshops
Michele Magno, Nathan Jackson, Alan Mathewson, Luca Benini, Emanuel M. Popovici
2013 — conf
Demo Abstract: SmartSync; When Toys Meet Wireless Sensor Networks.
REALWSN
Fiona Edwards Murphy, Michele Magno, Aidan Frost, Amy Long, Naomi Corbett, Emanuel M. Popovici
2013 — conf
Heterogeneous multi-harvester for wireless sensor networks.
ENSSys@SenSys
Danilo Porcarelli, Michele Magno, Davide Brunelli, Luca Benini
2013 C conf
Low-power wireless accelerometer-based system for wear detection of bandsaw blades.
INDIN
Michele Magno, Emanuel M. Popovici, Alessandro Bravin, Antonio Libri, Marco Storace, Luca Benini
2013 J jnl
Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Michele Magno, Federico Tombari, Davide Brunelli, Luigi Di Stefano, Luca Benini
2013 — conf
Power management techniques for Wireless Sensor Networks: A review.
IWASI
Emanuel M. Popovici, Michele Magno, Stevan Marinkovic
2013 — conf
Powering wireless sensor nodes with micro fuel cells.
ENSSys@SenSys
Michele Magno, Davide Brunelli, Luca Benini, Roberta Giuffrida, Salvatore Leonardi, Andrea Lazzara
2013 — conf
Ultra low power asynchronous MAC protocol using wake-up radio for energy neutral WSN.
ENSSys@SenSys
Trong Nhan Le, Michele Magno, Alain Pegatoquet, Olivier Berder, Olivier Sentieys, Emanuel M. Popovici
2013 B conf
Wearable low power dry surface wireless sensor node for healthcare monitoring application.
WiMob
Michele Magno, Luca Benini, Christian Spagnol, Emanuel M. Popovici
2012 — conf
Analytic comparison of wake-up receivers for WSNs and benefits over the wake-on radio scheme.
PM2HW2N@MSWiM
Vana Jelicic, Michele Magno, Davide Brunelli, Vedran Bilas, Luca Benini
2012 B conf
Combined methods to extend the lifetime of power hungry WSN with multimodal sensors and nanopower wakeups.
IWCMC
Michele Magno, Stevan Jovica Marinkovic, Davide Brunelli, Luca Benini, Emanuel M. Popovici
2012 A conf
Smart power unit with ultra low power radio trigger capabilities for wireless sensor networks.
DATE
Michele Magno, Stevan Jovica Marinkovic, Davide Brunelli, Emanuel M. Popovici, Brendan O'Flynn, Luca Benini
2011 B conf
Energy-aware objects abandon / removal detection.
AVSS
Alessandro Lanza, Michele Magno, Davide Brunelli, Luigi Di Stefano, Luca Benini
2010 — conf
Energy Efficient Cooperative Multimodal Ambient Monitoring.
EuroSSC
Michele Magno, Davide Brunelli, Piero Zappi, Luca Benini
2010 C conf
Energy aware multimodal embedded video surveillance.
VLSI-SoC
Michele Magno, Alessandro Lanza, Davide Brunelli, Luigi Di Stefano, Luca Benini
2009 — conf
Adaptive power control for solar harvesting multimodal wireless smart camera.
ICDSC
Michele Magno, Davide Brunelli, Lothar Thiele, Luca Benini
2009 B conf
Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems.
AVSS
Michele Magno, Federico Tombari, Davide Brunelli, Luigi Di Stefano, Luca Benini
2008 C conf
A Solar-powered Video Sensor Node for Energy Efficient Multimodal Surveillance.
DSD
Michele Magno, Davide Brunelli, Piero Zappi, Luca Benini
2007 J jnl
A low-power wireless video sensor node for distributed object detection.
J. Real Time Image Process.
Aliaksei Kerhet, Michele Magno, Francesco Leonardi, Andrea Boni, Luca Benini
2007 B conf
Distributed video surveillance using hardware-friendly sparse large margin classifiers.
AVSS
Aliaksei Kerhet, Francesco Leonardi, Andrea Boni, Paolo Lombardo, Michele Magno, Luca Benini
2007 J jnl
Reconfiguration Strategies for Environmentally Powered Devices: Theoretical Analysis and Experimental Validation.
Trans. High Perform. Embed. Archit. Compil.
Alex E. Susu, Michele Magno, Andrea Acquaviva, David Atienza, Giovanni De Micheli