Abstract: Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received long-standing attention. In recent years, deep learning ...

Abstract: The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that ...

Abstract: Recently, the advancement of deep learning (DL) in discriminative feature learning from 3-D LiDAR data has led to rapid development in the field of autonomous driving. However, automated ...

Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...

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Abstract: Power electronic-interfaced renewable energy sources (RES) exhibit lower inertia compared to traditional synchronous generators. The large-scale integration of RES has led to a significant ...

Abstract: When an electromagnetic transient occurs in a transformer, certain parts of the winding will be over stressed internally, which in severe cases will lead to the destruction of the winding ...

Abstract: Weather radars have become indispensable to meteorologists and the general public for both understanding and awareness of high-impact weather events and as part of the operational warning ...

Abstract: This paper presents a series arc-fault detection algorithm for photovoltaic (PV) systems, which relies on the quantum probability model theory. The algorithm determines the presence of the ...

Abstract: Infrastructure projects regularly experience cost and schedule overruns. Research led by Flyvbjerg has suggested that misrepresentation and optimism bias are primary causes for overruns.

Abstract: Parameter mismatches in a control scheme would cause the additional harmonic components and torque ripples in permanent magnet synchronous machines (PMSMs). Moreover, there is an additional ...

Abstract: For the future development of an integrated energy system (IES) with ultra-high penetration of renewable energy, a planning model for an electricity-hydrogen integrated energy system (EH-IES ...