Abstract: Real-time image dehazmg is crucial for applications such as autonomous driving, surveillance, and remote sensing, where haze can significantly reduce visibility. However, many deep learning ...

Abstract: Maxwell's equations are replaced by a set of finite difference equations. It is shown that if one chooses the field points appropriately, the set of finite difference equations is applicable ...

Abstract: Metal halide perovskite solar cells (PSCs) have made substantial progress in power conversion efficiency (PCE) and stability in the past decade thanks to the advancements in perovskite ...

Abstract: Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online learning is to make a sequence of accurate predictions given ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=43 ...

Abstract: Large language models (LLMs) have transformed the development of embodied intelligence. By providing a few contextual demonstrations (such as rationales and solution examples) developers can ...

Accurately and efficiently obtaining crop planting structure information is critical for precision agriculture. However, the current methods for mapping crop planting structure primarily use image ...

Abstract: With the rapid development of intelligent manufacturing, multi-robot collaborative systems are increasingly integrated into various production processes. In the flexible job shop environment ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=19 ...

Abstract: Most AI-based channel estimation methods with static environment assumptions suffer from performance degradation due to the distribution shift caused by the varying channel environment. As ...

Abstract: This paper proposes a deep reinforcement learning scheme for the primary frequency response of floating offshore wind turbines (FOWTs). Considering the fact that current FOWT simulators ...

Abstract: The miniaturized cage-like metacell is proposed for TE-TM balanced wide-angle transmission using the prior knowledge (PK)-guided generative deep learning (DL) method, enabling a low ...