reconfigurable Intelligent Surfaces (RISs) possess the capability to enhance the efficiency of wireless communication systems when direct Line-of-Sight (LoS) between transceivers is *** employing multiple RIS units pr...
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Machine learning algorithms for fault detection in PV panels provides a powerful, scalable, and efficient solution for enhancing system reliability, reducing maintenance costs, and ensuring optimal energy production. ...
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Fair clustering problems have been paid lots of attention recently. In this paper, we study the k-Center problem under the group fairness and data summarization fairness constraints, denoted as Group Fair k-Center (GF...
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In space applications, the electronic systems that drive mission-critical operations face unique challenges due to harsh environments characterized by temperature variations and cosmic radiation. The reliability and r...
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The necessity for recommendation systems spans across various domains, not least in the realm of dining and exploring new locales. Restaurants, in particular, benefit from such systems to both attract customers and of...
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Accurate guidance in complex interior environments is met by developing interior navigation apps for room-level navigation. With this innovative tool, users may enter a location within a building or room and obtain st...
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The Multi-Head Attention (MHA) is an important part of the Vision Transformer (ViT) network. It can both speed up operations in ViT network by mapping the respective attention in parallel and prevent overfitting probl...
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We report a geometrically reconfigurable silk-based electronic implant designed for peripheral nerve monitoring. Metallic conductive structures were fabricated on the surface of a geometrically reconfigurable membrane...
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Stand-alone photovoltaic (SAPV) systems, comprising PV panels and lithium-ion battery, offer promising solutions for sustainable energy. However, their widespread adoption is hindered by challenges in achieving optima...
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With the continuous development of convolutional neural networks(CNN), stereo matching algorithms have made great achievements. However, existing studies mainly focus on network model structure, ignoring the dataset i...
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