Abstract: Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in videos. The challenging issue in this task is to alleviate competitive learning between the ...

Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...

Abstract: A resonant converter is a type of electric power converter that contains a network of inductors and capacitors called a "resonant tank", tuned to resonate at a specific frequency. They find ...

Abstract: This extensively revised edition of the bestselling Artech House book, RF Power Amplifiers for Wireless Communications, offers you a comprehensive, practical, and up-to-date understanding of ...

Abstract: Ultra-wideband (UWB) through-wall radar has a wide range of applications in non-contact human information detection and monitoring. With the integration of machine learning technology, its ...

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Abstract: Most phase-shift models for reconfigurable intelligent surfaces (RIS) rely on ideal models of the reflection coefficient, i.e., assuming full-reflection amplitude and constant reflection ...

Abstract: Active rectifier can achieve higher efficiency than an uncontrolled rectifier for the wireless power transfer (WPT) system. However, synchronization is a challenge for both sides’ safe and ...

Abstract: Global Navigation Satellite System (GNSS) displacements are widely used to recover regional terrestrial water storage (TWS) variations. Most previous studies focused on using GNSS vertical ...