Abstract: The previous work on the demagnetization fault detection of permanent synchronous magnet motor (PMSM) focuses on giving information of the fault’s existence or severity. However, the ...
Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...
In a gesture recognition system based on surface electromyogram (sEMG) signals, the recognition model established by existing users cannot directly generalize to the across-user scenarios due to the ...
Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions. However, the imaging range of endoscopes is small, which may affect the doctors' judgment on the scope and ...
Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...
1 Department of Basic Sciences, School of Basic and Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana. 2 Department of Statistics and Actuarial Science, University of Ghana, ...
Machine learning is an increasingly familiar technology term that encompasses a broad range of applications. Machine learning can enable businesses to sift through large amounts of data and find ...
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