| 2024 | DIME: Distributed Inference Model Estimation for Minimizing Profiled Latency. | Robert Viramontes, Azadeh Davoodi |
| 2024 | PhD Forum: Deep Neural Networks at the Edge. | Robert Viramontes |
| 2024 | Paving the Way for an Urban Intelligence OpenStack-Based Architecture. | Giuseppe Tricomi, Luca D'Agati, Francesco Longo, Giovanni Merlino, Antonio Puliafito, Stefano Silvestri |
| 2024 | Reinforcement Learning based Matching for Parallel Computation Offloading in Dynamic Fog Computing Networks. | Hoa Tran-Dang, Dong-Seong Kim |
| 2024 | Comparison of Commercial Pedometer Applications: A Rigorous Approach. | Alessio Terzi, Federico Montori, Lorenzo Gigli, Luca Bedogni, Marco Di Felice, Luciano Bononi |
| 2024 | OPTIMUS: Discrete Event Simulator for Vehicle-to-Building Charging Optimization. | Jose Paolo Talusan, Rishav Sen, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Liam Pedersen, Ayan Mukhopadhyay, Abhishek Dubey |
| 2024 | DP-MTFL: Differentially Private Multi-Tier Federated Learning for IoT applications. | Ramin Soleimani, Dirk Pesch |
| 2024 | Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving. | Eugen Slapak, Mats Dopiriak, Mohammad Abdullah Al Faruque, Juraj Gazda, Marco Levorato |
| 2024 | A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices. | Emanuele Giuseppe Siani, Laura Scigliano, Dario Bruneo, Fabrizio De Vita, Valeria Tomaselli, Danilo Pau |
| 2024 | POSCA: Path Optimization for Solar Cover Amelioration in Urban Air Mobility. | Debjyoti Sengupta, Anurag Satpathy, Sajal K. Das |
| 2024 | PhD Forum: Sustainable Route Planning and Efficient Computation Offloading in Urban Air Mobility. | Debjyoti Sengupta |
| 2024 | A Method for City-Wide PoI-Level Congestion Prediction via Assimilation of Actual and Simulation-Based PoI Congestion Data. | Haruka Sakagami, Osamu Yamada, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto |
| 2024 | Contactless Physiological Health Sensing: Challenges, Solutions & Opportunities. | Nirmalya Roy, Zahid Hasan |
| 2024 | Towards Opportunistic Federated Learning Using Independent Subnetwork Training. | Victor Romero, Tomokazu Matsui, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto |
| 2024 | PhD Forum: Learning at the Time of Disasters. | Victor Romero II |
| 2024 | From Calls to Scales: Harnessing Smartphone Accelerometer and Vibration for Daily Mass Measurement. | Hamada Rizk, Mirna Elbestar, Moustafa Youssef |
| 2024 | Towards Enhanced Urban Management: Introducing A Model for Autonomic Smart City Management. | Elham Okhovat, Michael Bauer |
| 2024 | Farm Households Food Security Status Automation Through Supervised Learning Approach: A Look at Agroecological Farms. | Theodore Nikiema, Eugne C. Ezin, Sylvain Kpenavoun Chogou, Pamela G. Katic |
| 2024 | Categorizing Farms to Promote Agroecology: A Supervised Learning Approach. | Theodore Nikiema, Eugne C. Ezin, Sylvain Kpenavoun Chogou |
| 2024 | Leveraging Homeostatic Plasticity to Enable Anomaly Detection in Spiking Neural Networks. | Rawan M. A. Nawaiseh, Fabrizio De Vita, Enrico Catalfamo, Dario Bruneo |
| 2024 | An MCS Navigation System Based on Road Surface Quality for Bicycle Riders. | Federico Montori, Rocco Pastore, Luca Sciullo, Luciano Bononi, Luca Bedogni |
| 2024 | A Table-Top Interface for Real-Time Coaching in Abacus Learning. | Yuki Matsuda |
| 2024 | Protecting Cross-Camera Person Re-Identification Data with Image Differential Privacy. | Lucas Maris, Yuki Matsuda, Keiichi Yasumoto |
| 2024 | FMLFS: A Federated Multi-Label Feature Selection Based on Information Theory in IoT Environment. | Afsaneh Mahanipour, Hana Khamfroush |
| 2024 | Bibliometric Mining of Research Trends for Smart Cities. | Lars Lundberg |