Alireza Momenzadeh

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2024 J jnl
Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments.
Veh. Commun.
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2024 J jnl
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution.
Cogn. Comput.
Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Sima Sarv Ahrabi
2023 J jnl
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study.
J. Supercomput.
Sima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Lorenzo Piazzo
2023 J jnl
Twinned Residual Auto-Encoder (TRAE) - A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images.
Expert Syst. Appl.
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2022 J jnl
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection.
Expert Syst. Appl.
Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh
2022 J jnl
AFAFed - Protocol analysis.
CoRR
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi
2022 J jnl
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans.
J. Supercomput.
Sima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, Michele Scarpiniti, Enzo Baccarelli
2021 J jnl
An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease.
Comput.
Sima Sarv Ahrabi, Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh
2021 J jnl
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms.
IEEE Access
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi
2020 J jnl
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications.
Inf. Sci.
Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini
2019 J jnl
EcoMobiFog - Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications.
CoRR
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2019 J jnl
EcoMobiFog-Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications.
IEEE Access
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2018 J jnl
Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections.
IEEE Access
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2018 J jnl
Fog-supported delay-constrained energy-saving live migration of VMs over MultiPath TCP/IP 5G connections.
CoRR
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh