In response to the increasingly complex fault location problem caused by more and more access of distributed power sources to distribution networks, this paper proposes a fault location method based on the distributio...
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Microgrids, as self-contained energy systems, possess great potential in facilitating renewable energy consumption and optimizing energy structures. This paper introduces a model for energy dispatch in microgrids that...
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The widespread application of distributed generator (DG) in distribution networks can improve the quality of electrical energy and ensure the stability of power supply, but at the same time, it raises the electricity ...
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The timely and precise identification of skin diseases is essential to optimizing therapy effectiveness and attaining favorable patient outcomes. However depending solely on visual examination and conventional diagnos...
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As the number of electric vehicles grows, the development of fast chargers is advancing rapidly. A DC-DC converter that can deliver high output power, a fixed input voltage, and a wide output voltage range is critical...
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Satellite-borne SAR image target detection is widely used across various fields. However, there are different data distributions among SAR images from different satellite sensors and different imaging conditions. This...
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In large scene SAR images, the extraction of regions of interest is crucial for improving the accuracy of target detection. Airports and water bodies within these scenes often contain aircraft and ships, which are pri...
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It designs and implements an IoT-based night patrol robot that has improved surveillance capabilities by combining voice technology. The patrol robot system is remote-controlled, patrols designated areas at night, and...
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In the realm of information security, ensuring the confidentiality and integrity of image communication has become a critical concern, especially in the context of modern technological advancements. This paper present...
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Offline-online reinforcement learning combines the advantages of offline learning in terms of sample efficiency and online learning in terms of exploration and trial-and-error. On the other hand, the partial observabi...
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