| 2024 | Exploiting NLOS Links for Energy-Efficient Opportunistic Routing in IoV. | Yiming Zhou, Xing Tang, Pengyu Shi, Jing Wang, Chunlin Li, Lincheng Jiang, Zhen Tan, Fengcai Qiao |
| 2024 | A Service-Based Real-Time Anomaly Detection Method for Sensor Stream Data. | Zhongmei Zhang, Shuai Zhang |
| 2024 | Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition. | Xiaozhou Ye, Kevin I-Kai Wang |
| 2024 | Event-Driven Performance Evaluation of Statecharts and MicroPython on ESP32-C3 Platforms. | Xinyu Tan, Ismo Hakala |
| 2024 | Wearable-Based Fair and Accurate Pain Assessment Using Multi-attribute Fairness Loss in Convolutional Neural Networks. | Sharmin Sultana, Yidong Zhu, Shao-Hsien Liu, Mohammad Arif Ul Alam |
| 2024 | Scene Graph Driven Context Query Generation: A Focus on Diversity and Situation-Specific Queries. | Ravindi de Silva, Arkady B. Zaslavsky, Seng W. Loke, Prem Prakash Jayaraman |
| 2024 | Spatio-Temporal Analysis of Concurrent Networks. | Heinz W. Schmidt, Peter Herrmann, Maria Spichkova, James Harland, Ian Peake, Ergys Puka |
| 2024 | Real-Time Mobile Health Analytics and Interventions Pipeline to Detect Acute Events in COPD. | Heet Sankesara, Yatharth Ranjan, Pauline Conde, Malik A. Althobiani, Zulqarnain Rashid, Akash Roy Choudhury, Callum L. Stewart, Yuezhou Zhang, Joanna Porter, John R. Hurst, Richard J. B. Dobson, Amos Folarin |
| 2024 | VF-RL: A Reinforcement Learning-Based Coverage Improvement in Mobile IoT Networks Using Virtual Force. | Raheleh Samadi, Amin Nazari, Jochen Seitz |
| 2024 | A Preliminary Study on Core Temperature Estimation Using a Neonatal Thermal Model via Backpropagation Algorithm. | Natsumi Sakamoto, Hiroki Kudo, Keisuke Hamada, Eiji Hirakawa, Akira Uchiyama |
| 2024 | AI Robust Anomaly Localization for DC Microgrid Using Adversarial Autoencoder. | Jieqi Rong, Weirong Liu, Fu Jiang, Heng Li, Lisen Yan, Jun Peng, Zhiwu Huang |
| 2024 | Adaptive Deployment of Application-Level Sensing and Data Processing Pipelines in a Wireless Network of Embedded Devices. | Giorgos Polychronis, Manos Koutsoubelias, Foivos Pournaropoulos, Spyros Lalis, Lefteris Georgiadis, Thomas Pazios, Stratos Tsatsaronis, Isaias Vrakidis |
| 2024 | Smartphone Contact-Object Estimation by Acoustic Sensing Focusing on Abstraction Level. | Haruya Nishi, Shigemi Ishida, Tomoki Murakami, Shinya Otsuki |
| 2024 | Simulating Urban Pedestrian Flows by Fusing Wide-Area Location Data and Spot Pedestrian Counts. | Uegaki Masashi, Tatsuya Amano, Hirozumi Yamaguchi |
| 2024 | Genetic Algorithm Optimization for Mobile Crowd-Sensing of On-Street Parking. | Yaxuan Li, Wenjun Zheng, Ruizhi Liao |
| 2024 | Real-Time Obstacle Detection and Safe Operation for Industrial Autonomous Mobile Robots. | Yuanhao Liu, Yinlong Zhang, Shuai Liu, Dapeng Lan, Chu Wang, Wei Liang |
| 2024 | Resource-Aware Mixed-Precision Quantization for Enhancing Deployability of Transformers for Time-Series Forecasting on Embedded FPGAs. | Tianheng Ling, Chao Qian, Gregor Schiele |
| 2024 | Collection Scheduling with Memory Constraints for Low Earth Orbit Satellite Constellations. | Saumya Jaipuria, Ansuman Banerjee, Himadri Sekhar Paul |
| 2024 | Supporting an Ephemeral Shared Dataspace with a BLE Connectionless Protocol. | Mariam Issa, Paul Couderc, Jean-Marie Bonnin |
| 2024 | Simulating and Evaluating Search Strategies for Highly Accurate Localization Based on Wireless Technologies Using Autonomous Unmanned Aerial Vehicles. | Eva Hetzel, Nicolai Krger, Julian Sturm, Oliver Zeidler, Daniel Fraunholz, Wolfgang Kellerer |
| 2024 | CSI Phase Fingerprinting for Indoor Positioning Services Using Deep Reinforcement Learning. | Wiem Fekih Hassen, Haifa Ben Salem |
| 2024 | EEGAmp+: Investigating the Efficacy of Functional Connectivity for Detecting Events in Low Resolution EEG. | Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas R. Waytowich, Nirmalya Roy |
| 2024 | Resilience Against APTs: A Provenance-Based IIoT Dataset for Cybersecurity Research. | Erfan Ghiasvand, Suprio Ray, Shahrear Iqbal, Sajjad Dadkhah, Ali A. Ghorbani |
| 2024 | GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes. | Michele Fiori, Davide Mor, Gabriele Civitarese, Claudio Bettini |
| 2024 | A Framework for Devising, Evaluating and Fine-Tuning Indoor Tracking Algorithms. | Alpha Diallo, Benot Garbinato |