This paper investigates the impact of temperature-controlled loads on power system reliability in modern power systems. Through mathematical modeling and analysis, the ability to participate in grid regulation is expl...
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The usage of metaheuristic algorithms for the diagnosis and classification of chronic kidney disease (CKD) is investigated in this work. To improve feature selection and classification accuracy, this study proposes se...
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This study presents a novel translational method for suicide prevention research, employing customizable virtual reality (VR) simulations that mimic real-life situations. We aim to validate the usability of these VR s...
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Real-Time object tracking is crucial in the world of computer vision. The real-world application of tracking in traffic management systems is quite challenging, and traditional methods have limitations due to speed an...
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A vital part of today's transportation infrastructure is the railway system that facilitates the massive movement of people and products. With so many people and commodities being transported, the rail tracks coul...
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The satisfaction of furniture arrangement has a momentous influence in the comfort of people's being. At present, the layout of furniture is used by artificial interactive methods, which undoubtedly brings a lot o...
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作者：
Oza, YashShah, RushankSingh, ArhyaKanikar, PrashastiNmims
Mukesh Patel School of Technology Management and Engineering Computer Engineering Mumbai India Nmims
Mukesh Patel School of Technology Management and Engineering Faculty Computer Engineering Mumbai India
The increasing interest in automated emotional state recognition systems presents significant potential for applications in human-machine interactions and monitoring. Nonetheless, conventional methods that concentrate...
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Knowledge graphs play a central role in the field of recommender systems, and their quality directly impacts their performance in deep applications. Real-world knowledge graphs are often subject to noise, which disrup...
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Human pose estimation is crucial in computer vision for interaction, behavior analysis, and action recognition. This paper introduces EDUNet, a U-shaped key point detection network addressing information loss, redunda...
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Thanks to the rapid progress of automatic driving technology, the problem of object detection in automatic driving scenarios has become one of the hottest research topics at present. Automatic driving scenarios face d...
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