The human-computer interaction interface serves as the means for astronauts to control complex information systems, and with the advancement of manned deep space exploration, higher demands are placed on its design an...
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Construction projects are prone to high-risk safety accidents, highlighting the importance of effectively managing near-miss events to prevent such incidents. However, the reliance on manual supervision in traditional...
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In this paper, a novel algorithm had been proposed to improve the efficiency performance of the wind energy conversion system (WECS) to reach the maximum possible captured power under fast varying wind speed. The perm...
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作者：
Petkar, Taniya G.Kumar, PraveenSarate, Kirtiksha U.
Faculty of Engineering and Technology Department of Computer Science & Medical Engineering Maharashtra Sawangi Wardha442001 India
Faculty of Engineering and Technology Department of Computer Science and Design Maharashtra Sawangi Wardha442001 India
By enabling precise, individualized, and effective treatments, the integration of artificial intelligence (AI) and machine learning (ML) into wound and skin healing is revolutionizing healthcare. Artificial intelligen...
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Potholes are depressions caused in the road surface which is dangerous and increases the risk of road accidents. In India, the major reasons for potholes are poor road construction, lack of timely repair, and inadequa...
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In recent years, autonomous parking technology has been extensively studied as a core function of unmanned driving. This paper demonstrates the implementation of an autonomous parking feature for unmanned vehicles on ...
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This study aims to develop a 3D diagnostic system for electric vehicle surface damage, leveraging fiber optic sensors and the CenterNet algorithm, specifically designed to address the current issues of low efficiency ...
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This paper proposes a comprehensive approach that combines big data analysis techniques with mathematical models for design optimization and health monitoring in civil and structural engineering. The study collects re...
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Image semantic segmentation based on deep learning has made great progress in recent years. This paper summarizes the application and development of convolutional neural network (CNN), full convolutional network (FCN)...
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In the field of saliency detection for panoramic images, traditional equirectangular and cube projection methods in panoramic image saliency detection often face issues like distortion and discontinuities, impacting d...
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