BDCAT C

29 papers

YearTitle / Authors
20232D and 3D Physics Informed Neural Networks to Model Pollution Spread with Obstructions.
Yash Ranjith
2023A Digital Twin for Maritime Situational Awareness.
Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos, Georgios Grigoropoulos, Evangelia Filippou, Ilias Chamatidis, Marios Vodas, Manolis Kaliorakis, Dimitris Zissis
2023A Framework for Profiling Spatial Variability in the Performance of Classification Models.
Menuka Warushavithana, Kassidy Barram, Caleb Carlson, Saptashwa Mitra, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
2023An Approach for Dynamic Behavioural Prediction and Fault Injection in Cyber-Physical Systems.
Hayatullahi Bolaji Adeyemo, Rami Bahsoon, Peter Tino
2023Big Data-Driven Portfolio Simplification: Leveraging Self-Labeled Clustering to Enhance Decision-Making.
Minjuan Zhang, Chase Q. Wu, Aiqin Hou
2023Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces.
Myeongseop Kim, Taehyeon Kim
2023Cardiotocography Signal Abnormality Detection Based on Deep Semi-Unsupervised Learning.
Julien Bertieaux, Mohammadhadi Shateri, Fabrice Labeau, Thierry Dutoit
2023Cloud-Edge-Client Continuum: Leveraging Browsers as Deployment Nodes with Virtual Pods.
Mario Colosi, Marco Garofalo, Antonino Galletta, Maria Fazio, Antonio Celesti, Massimo Villari
2023Computation of the Abdominal Compliance for Pediatric Laparoscopy by Fitting Curve with the Levenberg-Marquardt Algorithm.
Lorenzo Carnevale, Giuseppe Floramo, Donatella Di Fabrizio, Salvatore Arena, Angela Simona Montalto, Pietro Impellizzeri, Carmelo Romeo
2023EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management.
Mario Colosi, Marco Garofalo, Lorenzo Carnevale, Roberto Marino, Maria Fazio, Massimo Villari
2023EPSAPG: A Pipeline Combining MMseqs2 and PSI-BLAST to Quickly Generate Extensive Protein Sequence Alignment Profiles.
Issar Arab
2023Evaluating Deep Neural Network-based Fire Detection for Natural Disaster Management.
Matthaios Dimitrios Tzimas, Christos Papaioannidis, Vasileios Mygdalis, Ioannis Pitas
2023Facilitating Experimental Reproducibility in Neural Network Research with a Unified Framework.
Anestis Kaimakamidis, Ioannis Pitas
2023Improving the Validation of Automotive Self-Learning Systems through the Synergy of Scenario-Based Testing and Metamorphic Relations.
Marco Stang, Martin Sommer, David Kraus, Eric Sax
2023Make Federated Learning a Standard in Robotics by Using ROS2.
Roberto Marino, Lorenzo Carnevale, Maria Fazio, Massimo Villari
2023Methodology and elaboration of model for Map of Wildfire Risk: Application of Deep learning in the Regional Forest Fire Plan for the Region of Sardinia.
Fabio Casule, Romina Secci, Antonio Usai, Mauro Merella
2023OpenSEM: an Open Framework for Data-Driven Structural and Environmental Monitoring.
Roberto Marino, Antonino Marino, Domenica De Domenico, Lorenzo Carnevale, Salvatore Magazù
2023Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning.
Paul Agbaje, Afia Anjum, Arkajyoti Mitra, Sena Hounsinou, Ebelechukwu Nwafor, Habeeb Olufowobi
2023Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2023, Taormina (Messina), Italy, December 4-7, 2023
2023Real-time Route Planning to Reduce Pedestrian Pollution Exposure in Urban Settings.
Richard O. Sinnott, Siqi Zhong
2023Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets.
Saptashwa Mitra, Matthew Young, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
2023Sleep Well: Pragmatic Analysis of the Idle States of Intel Processors.
Till Smejkal, Jan Bierbaum, Thomas Oberhauser, Horst Schirmeier, Hermann Härtig
2023Strengthening Food Security: A Comparison of Food Import Forecasting Models.
Corrado Mio, Siddhartha Shakya, Himadri Sikhar Khargharia, Dymitr Ruta, Subey Dengur, Aysha Ali Saif Al Shamisi, Asma Alawneh
2023Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture.
Lorenzo Carnevale, Antonio Filograna, Francesco Arigliano, Roberto Marino, Armando Ruggeri, Maria Fazio
2023The REThinkWASTE data integration and analytics platform for intelligent waste management.
Andrea Livaldi, Sonia Bergamaschi, Mirko Orsini, Luca Magnotta, Riccardo Venturi, Stefano Gabri
2023Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
2023Trust Management In IoT Drinking Water Treatment Plants.
Aicha Aiche, Pierre-Martin Tardif, Mohammed Erritali
2023WiFi's Unspoken Tales: Deep Neural Network Decodes Human Behavior from Channel State Information.
Taehyeon Kim, Seho Park, Myeongseop Kim
2023Workload-Aware Cache Management of Bitmap Indices.
Julia Kaeppel, Jason Sawin, David Chiu