Abstract is missing.
- BlackOps: GIS-Informed Planning for Healthcare Resilience Amid Power Grid OutagesModeste Mefenya Kenne, Andrew Chio, Zhenghui Hu, Julie Rousseau, Nalini Venkatasubramanian. 1-8 [doi]
- Precomputed 1D-CNNs for Atrial Fibrillation Detection on Tiny Smart Sensor SystemsLukas Einhaus, Natalie Maman, Julian Hoever, Andreas Erbslöh, Gregor Schiele. 9-16 [doi]
- FedAVL: Automated Vertical Federated Learning for Heterogeneous Healthcare DataFerdinand Kahenga, Gad Tambwe, Antoine Bagula, Jovita Mateus, Sajal K. Das 0001. 17-23 [doi]
- TabHealth: Towards a Self-Supervised Tabular Foundation Model for Smart HealthcareMattia Giovanni Campana, Giada Anastasi, Stefania Pieroni, Michela Franchini, Sabrina Molinaro, Franca Delmastro. 24-31 [doi]
- DataCenterGym: A Physics-Grounded Simulator for Multi-Objective Data Center SchedulingNilavra Pathak, Samadrita Biswas, Nirmalya Roy. 32-39 [doi]
- A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural NetworksGrigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos Tserpes. 40-47 [doi]
- Resource-Aware Federated Learning for Malware Detection on Smart DevicesAndrea Augello, Alessandra De Paola, Giuseppe Lo Re. 48-55 [doi]
- Dynamic Pickup-and-Delivery Routing with Early-Arrival Waiting Limits and Station RelocationAgrima Khanna, Sophie Pavia, Fangqi Liu 0001, Ayan Mukhopadhyay, Abhishek Dubey. 56-63 [doi]
- Simultaneous Multi-target Tracking and Gesture Recognition via Distributed Radar-Sensing SystemsWanru Ning, Dariush Salami, Hongliu Yang, Yongtao Ma, Stephan Sigg. 64-71 [doi]
- Efficient and Adaptive Human Activity Recognition via LLM BackbonesAleksandr Bredikhin, Philippe Lalanda, Germán Vega. 72-79 [doi]
- Reasoning Supervision for Enhancing Video-based Human Activity RecognitionYilin Liu, Meiyi Ma. 80-87 [doi]
- Natural Language Driven Multi-Object Tracking via Joint Spatial, Visual, and Semantic AssociationAzhar Hasan, Alex Richardson 0003, Gabor Karsai. 88-95 [doi]
- Emulated Autoencoder: A Defense against CNN Evasion Attacks for Resource Constrained Devices and High Throughput ApplicationsDat Le, Brent Lagesse. 96-103 [doi]
- A Two-Stage Hybrid Deep and Machine Learning Framework for Anomaly Detection and Classification in IoT Sensor NetworksChiraz Houaidia, Ichrak Amdouni, Leïla Azouz Saïdane. 104-111 [doi]
- CoBO: Conformal-Constrained Bayesian Optimization for Energy-Efficient SLO-Aware DNN InferenceIvan Dokuchaev, Ali Kadhum Idrees, Rolf Schuster. 112-119 [doi]
- FedAdapt++: Plane-consistent Federated Learning for SDN-IoT Anomaly DetectionJovita Mateus, Guy-Alain Lusilao-Zodi, Antoine Bagula, Ferdinand Kahenga, Olasupo Ajayi. 120-127 [doi]
- A Congestion Mitigation Approach for Ground Vehicles with Diverse Advanced Driver Assistance Systems in Smart Transportation NetworksDoris E. M. Brown, Sajal K. Das 0001. 128-135 [doi]
- A Simulation-based Framework for Dynamic Light Pollution Prediction in Urban Air MobilityYing-Chieh Wang, Tatsuya Amano, Hirozumi Yamaguchi. 136-143 [doi]
- Navigating Sparsity: Evaluating the Impact of Controlled Data Reduction on Synthetic Mobility Data UtilityAbeera Ayesha Riaz, Muhammad Tayyab Shafique, Leonie Ackermann, Debasree Das. 144-151 [doi]
- Operating Regimes of Decentralized Learning Under Mobility and Bandwidth ConstraintsSamuele Sabella, Chiara Boldrini, Lorenzo Valerio, Marco Conti, Andrea Passarella. 152-159 [doi]
- Empowering 9-1-1 Calltaking Training with Generative AI: Experiences and Lessons LearnedZirong Chen, Meiyi Ma. 160-167 [doi]
- ML-based SoH Estimation for Li-Ion Batteries Using CC-Phase Charging Voltage Features: Insights on Minimum and Optimal Training DatasetsGiada Pietrocola, Mario Molinara, Francesco Porpora, Luca Gerevini, Michele Vitelli, Claudio Marrocco. 168-174 [doi]