Abstract: Occluded person re-identification (re-id) aims to match occluded person images to holistic ones. Most existing works focus on matching collective-visible body parts by discarding the ...

Abstract: Explainable artificial intelligence is beneficial in converting opaque machine learning models into transparent ones and outlining how each one makes decisions in the healthcare industry. To ...

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Abstract: This paper proposes an energy storage system (ESS) for recycling the regenerative braking energy in the high-speed railway. In this case, a supercapacitor-based storage system is integrated ...

Abstract: With the integration of large-scale renewable energy sources (RES) and high voltage direct current (HVDC) based inter-regional transmission, modern power systems are facing low-inertia ...

Abstract: In the infrared focal plane arrays imaging systems, the temperature-dependent nonuniformity effects severely degrade the image quality. In this letter, we propose a very deep convolutional ...

Abstract: The aim of this paper is to present a comprehensive design methodology for an LLC resonant converter, based on a detailed quantitative analysis of the steady-state operation of the circuit.

Abstract: The increasing reliance on Large Language Models (LLMs) for health information seeking can pose severe risks due to the potential for misinformation and the complexity of these topics. This ...

Abstract: Magnetic miniature robots are promising tools for minimally invasive and noninvasive therapy. Constructing systems with actuation–perception loops is an essential step to progress from ...

Abstract: Objective: Extended Reality (XR) is a simultaneous combination of the virtual and real world. This paper presents the details of the framework and development methods for an XR basic life ...

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