Abstract: Aiming at high-frequency and high-power wireless power transfer (WPT), this paper identifies the challenges that limit an H-bridge inverter working at multi-megahertz (MHz) multi-kilowatt ...
Abstract: This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). Estimating the properties of unknown hazardous gas leakage using a ...
Understanding real-world videos with complex semantics and long temporal dependencies remains a fundamental challenge in computer vision. Recent progress in multimodal large language models (MLLMs) ...