10 citations · 45 across the 22 of their papers we have counts for
5 papers · 1 filter
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…
Divorce Prediction with Machine Learning: Insights and LIME Interpretability
Md Manjurul Ahsan
Divorce is one of the most common social issues in developed countries like in the United States. Almost 50% of the recent marriages turn into an involuntary divorce or separation.…
BSGAN: A Novel Oversampling Technique for Imbalanced Pattern Recognitions
Md Manjurul Ahsan, Shivakumar Raman, Zahed Siddique
Class imbalanced problems (CIP) are one of the potential challenges in developing unbiased Machine Learning (ML) models for predictions. CIP occurs when data samples are not equall…
Imbalanced Class Data Performance Evaluation and Improvement using Novel Generative Adversarial Network-based Approach: SSG and GBO
Md Manjurul Ahsan, Md Shahin Ali, Zahed Siddique
Class imbalance in a dataset is one of the major challenges that can significantly impact the performance of machine learning models resulting in biased predictions. Numerous techn…
Machine Learning-Based Disease Diagnosis:A Bibliometric Analysis
Md Manjurul Ahsan, Zahed Siddique
Machine Learning (ML) has garnered considerable attention from researchers and practitioners as a new and adaptable tool for disease diagnosis. With the advancement of ML and the p…