Abstract: This paper considers the challenge of detecting multiple targets in a radar scenario, where several point-like targets with distinct angles of arrival (AoAs) coexist within the same range ...
Abstract: In Visible Light Communication (VLC) systems, multipath effects significantly challenge achieving high-quality communication and optimal system performance. The paper introduces the Multiple ...
Abstract: Cloud detection is a crucial preliminary step for assimilating meteorological satellite observation and retrieving other atmospheric parameters. This article presents an explainable machine ...
Abstract: The rigid guide is an important part of the coal mine lifting system, serving a guiding function during the cage operation, making guide deformation detection crucial for ensuring safety in ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Abstract: Objective: Walking on irregular terrains is a common situation in everyday life. The accurate detection of gait events is of paramount importance for characterizing and analyzing gait. While ...
Abstract: Small- and medium-sized craters (SMCs) play a key role in the field of deep space exploration, whose detection and measurement face problems such as fringe blurring and low contrast due to ...
Abstract: Remote sensing (RS) image processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...
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