| 2025 | Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study. | Claudio Bettini, Azin Moradbeikie, Gabriele Civitarese |
| 2025 | Quantization-Aware Training for Autoencoder-Based Partitioning of CNNs. | Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Mattias O'Nils, Irida Shallari, Isaac Snchez Leal, Silvia Krug |
| 2025 | Strategic Reasoning of BitML Smart Contracts using the MCMAS Model Checker. | Luigi Bellomarini, Marco Favorito, Giuseppe Galano |
| 2025 | Mobile WiFi CSI-Based Object Detection: A Bistatic Approach for Enhanced Sensing in Enclosed Environment. | Kian Behzad, Maral Mordad, Rojin Zandi, Milad Siami |
| 2025 | Motivation Matters: Challenges and Pit-Falls of Crowdsourced Online Studies. | Eileen Becks, Viktor Matkovic, Torben Weis |
| 2025 | AI-enabled Cybersecurity using Synthetic Data. | Fabrizio Baiardi, Salvatore Ruggieri, Vincenzo Sammartino |
| 2025 | Your Smart Home Exchanged 3M Messages: Defining and Analyzing Smart Device Passive Mode. | Christian Badolato, Kaur Kullman, Nikolaos Papadakis, Manav Bhatt, Georgios Bouloukakis, Don Engel, Roberto Yus |
| 2025 | RACENet: Real-time Adaptive Class-aware Early-exit Networks for Edge Devices. | Mohammed Ayyat, Mohamed Osman, Tamer Nadeem |
| 2025 | Tiny Neural Networks for Tiny IoT Devices. | Alberto Ancilotto, Elisabetta Farella |
| 2025 | Linear Transformers beat YOLO for Embedded Object Detection. | Alberto Ancilotto, Edoardo Castagnini, Elisabetta Farella |
| 2025 | ImageBox: Small-Scale Blockchain-Aided Trusted Machine Learning Inference. | Lennart Almstedt, Leander Jehl, Lars C. Wolf |
| 2025 | PhysiFi: WiFi Sensing for Monitoring Therapeutic Robotic Systems. | Wonder Akpabio, Eyuphan Bulut |
| 2025 | Disassortative dynamic BA models inspired by the Bitcoin Lightning Network. | Taki E. Abedesselam, Fabio Giacomelli, Francesco Pasquale |
| 2025 | AI-Driven Distributed Adaptive Security in 6G Networks for Digital Healthcare. | Ijaz Ahmad, Erkki Harjula |
| 2025 | Enhancing Reliability of Distributed Learning over Edge Networks. | Xin Fan, Yue Wang, Yingshu Li, Yi Hong, Chuanwen Luo, Zhi Tian |
| 2024 | WiFi-Based Robust Human and Non-human Motion Recognition With Deep Learning. | Guozhen Zhu, Beibei Wang, Weihang Gao, Yuqian Hu, Chenshu Wu, K. J. Ray Liu |
| 2024 | Enhancing Efficiency in HAR Models: NAS Meets Pruning. | Yexu Zhou, Tobias King, Yiran Huang, Haibin Zhao, Till Riedel, Tobias Rddiger, Michael Beigl |
| 2024 | Research and practice of telemedicine in urodynamic study. | Quan Zhou, Kai Cui, Weilin Mao, Zhong Chen, Youmin Hu, Dongxu Lin |
| 2024 | FMC-CEE: A Collaborative Execution Environment with Flash Memory Controllers in IoT. | Zheng Zhang, Jingfeng Xue, Thar Baker, Tian Chen, Yuhang Zhao, Weizhi Meng |
| 2024 | Keynote: From WiFi Sensing to Quantum Sensing: Toward a Wireless Sensing Theory. | Daqing Zhang |
| 2024 | Towards Predicting the Perceived Brightness in a Smart Home Through Symbolic Regression. | Peter Zdankin, Viktor Matkovic, Gregor Schiele, Torben Weis |
| 2024 | Studying the Impact of User Feedback on Software Energy Consumption. | Thomas Zaragoza, Adel Noureddine, Ernesto Exposito |
| 2024 | Deep Learning based Human Detection using Thermal-RGB Data Fusion for Safe Automotive Guided-Driving. | Heuijee Yun, Daejin Park |
| 2024 | Artifact: OpenPack: A Large-scale Dataset for Recognizing Packaging Works in Logistic Environments. | Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara |
| 2024 | OpenPack: A Large-Scale Dataset for Recognizing Packaging Works in IoT-Enabled Logistic Environments. | Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara |