3 papers
eess.SY2026
Spatial-Temporal Hybrid Path Planning for Multi-UAV Methane Emission Rate Quantification
Ruikun Wu, Derek Hollenbeck, Sihua Shao
Accurate emission-rate quantification of methane point sources is essential for inventory verification and leak detection. UAV-borne sensing provides high-resolution, near-source m…
eess.SY2026
Multi-Agent Reinforcement Learning for UAV-Based Chemical Plume Source Localization
Zhirun Li, Derek Hollenbeck, Ruikun Wu +4
Undocumented orphaned wells pose significant health and environmental risks to nearby communities by releasing toxic gases and contaminating water sources, with methane emissions b…
cs.DC2024
Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
Liangkun Yu, Xiang Sun, Rana Albelaihi +2
Federated Learning (FL) revolutionizes collaborative machine learning among Internet of Things (IoT) devices by enabling them to train models collectively while preserving data pri…