6 citations · 11 across the 3 of their papers we have counts for
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eess.SY2021★ 6 cited
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad TH Beheshti +1
Unsupervised domain adaptation (UDA) has shown remarkable results in bearing fault diagnosis under changing working conditions in recent years. However, most UDA methods do not con…
eess.SY2020★ 1 cited
A Novel Event-based Non-intrusive Load Monitoring Algorithm
Elnaz Azizi, Mohammad TH Beheshti, Sadegh Bolouki
Non-intrusive load monitoring (NILM), aims to infer the power profiles of appliances from the aggregated power signal via purely analytical methods. Existing NILM methods are susce…