137 citations · 157 across the 4 of their papers we have counts for
4 papers
Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis
Mohammadreza Kavianpour, Parisa Kavianpour, Amin Ramezani +1
Bearing fault diagnosis under varying working conditions faces challenges, including a lack of labeled data, distribution discrepancies, and resource constraints. To address these…
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data
Mohammadreza Kavianpour, Parisa Kavianpour, Amin Ramezani
One of the most significant obstacles in bearing fault diagnosis is a lack of labeled data for various fault types. Also, sensor-acquired data frequently lack labels and have a lar…
A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
Parisa Kavianpour, Mohammadreza Kavianpour, Ehsan Jahani +1
Earthquakes, as natural phenomena, have continuously caused damage and loss of human life historically. Earthquake prediction is an essential aspect of any society's plans and can…
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…