10 citations · 16 across the 3 of their papers we have counts for
3 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…
Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks
Mehdi Mehdipour Ghazi, Amin Ramezani, Mehdi Siahi +1
Urban traffic flow prediction using data-driven models can play an important role in route planning and preventing congestion on highways. These methods utilize data collected from…