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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3208661
Abstract: In real applications, the data distribution may be inconsistent due to the different working conditions of the equipment, resulting in significant performance degradation of a well-trained faults diagnosis model. To this end, unsupervised domain adaptation…
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Keywords:
collaborative conditional;
deep adversarial;
diagnosis;
conditional deep ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3158547
Abstract: Restoring images degraded due to atmospheric turbulence is challenging as it consists of several distortions. Several deep learning methods have been proposed to minimize atmospheric distortions that consist of a single-stage deep network. However, we…
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Keywords:
network;
deep adversarial;
stage;
turbulence ... See more keywords
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Published in 2020 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008405
Abstract: Given the complexity and diversity of the cancer genomics profiles, it is challenging to identify distinct clusters from different cancer types. Numerous analyses have been conducted for this propose. Still, the methods they used always…
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Keywords:
classification;
deep adversarial;
atac seq;
non coding ... See more keywords