4 papers
Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning
Tasfiq E. Alam, Md Manjurul Ahsan, Shivakumar Raman
Accurate and interpretable bearing fault classification is critical for ensuring the reliability of rotating machinery, particularly under variable operating conditions where domai…
Hybrid Machine Learning Framework for Predicting Geometric Deviations from 3D Surface Metrology
Hamidreza Samadi, Md Manjurul Ahsan, Shivakumar Raman
This study addresses the challenge of accurately forecasting geometric deviations in manufactured components using advanced 3D surface analysis. Despite progress in modern manufact…
Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning
Tasfiq E. Alam, Md Manjurul Ahsan, Shivakumar Raman
Bearings play an integral role in ensuring the reliability and efficiency of rotating machinery - reducing friction and handling critical loads. Bearing failures that constitute up…
Diffusion-Based Approaches in Medical Image Generation and Analysis
Abdullah al Nomaan Nafi, Md. Alamgir Hossain, Rakib Hossain Rifat +3
Data scarcity in medical imaging poses significant challenges due to privacy concerns. Diffusion models, a recent generative modeling technique, offer a potential solution by gener…