In the field, unsupervised learning-based fault diagnosis is necessary due to the lack of fault data. However, conventional auto-encoder models face challenges in fault classification. To address this issue, this stud...
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A hysteresis motor is a motor characterized by an increase in the efficiency of the output to input ratio during an over-excitation in which a higher voltage is applied at startup than when the rated voltage is applie...
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Existing thin cloud removal methods primarily rely on generative paradigms or discriminative paradigms. Generative paradigms often suffer from training instability, while discriminative paradigms exhibit insufficient ...
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Automatic license plate recognition and vehicle speed measurement are two of the critical tasks in traffic monitoring that face several challenges. Existing CNN and RNN-based license plate recognition systems must man...
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Fires are becoming one of the major natural hazards that threaten the ecology, economy, human life and even more worldwide. Therefore, early fire detection systems are crucial to prevent fires from spreading out of co...
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Magnetic bearing motors are in high demand due to their ability to operate in special environments without mechanical friction and lubrication, effectively avoiding wear and contamination. To overcome the complexity a...
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To simultaneously optimize multiple performances of the cooperative adaptive cruise control (CACC) system, a fuzzy MPC control strategy is proposed to achieve multi-objective cooperative control for electric vehicle p...
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In the Industrial Internet of Things (IIoT) landscape, where the Cloud-to-Things Continuum (C2TC) paradigm is now a reality, industrial applications need to cope with highly heterogeneous network and computing resourc...
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In emotion recognition, the requirement for authenticity and real-time of the medium under study has always been a primary consideration. Thus electroencephalogram (EEG) is most suitable as the primary medium for emot...
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Dynamic adaptive streaming over HTTP can adaptively select the most appropriate video bitrate for video users. Mobile edge computing (MEC) can effectively improve video quality by providing computing and storage capab...
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