9 citations · 17 across the 12 of their papers we have counts for
12 papers
Tolerance-Dependent Inspection Disagreement Between a Fixed CMM and a Portable Articulated-Arm CMM
Md Manjurul Ahsan, Hamidreza Samadi, Shivakumar Raman
Fixed coordinate measuring machines (CMMs) and portable articulated-arm CMMs are often assigned to the same inspection task, but their nominal accuracy specifications do not show w…
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…
Metrology and Manufacturing-Integrated Digital Twin (MM-DT) for Advanced Manufacturing: Insights from CMM and FARO Arm Measurements
Hamidreza Samadi, Md Manjurul Ahsan, Shivakumar Raman
Metrology, the science of measurement, plays a key role in Advanced Manufacturing (AM) to ensure quality control, process optimization, and predictive maintenance. However, it has…
PMI-DT: Leveraging Digital Twins and Machine Learning for Predictive Modeling and Inspection in Manufacturing
Chas Hamel, Md Manjurul Ahsan, Shivakumar Raman
Over the years, Digital Twin (DT) has become popular in Advanced Manufacturing (AM) due to its ability to improve production efficiency and quality. By creating virtual replicas of…
Digital Twins in Additive Manufacturing: A Systematic Review
Md Manjurul Ahsan, Yingtao Liu, Shivakumar Raman +1
Digital Twins (DTs) are becoming popular in Additive Manufacturing (AM) due to their ability to create virtual replicas of physical components of AM machines, which helps in real-t…
A Comprehensive Survey on Diffusion Models and Their Applications
Md Manjurul Ahsan, Shivakumar Raman, Yingtao Liu +1
Diffusion Models are probabilistic models that create realistic samples by simulating the diffusion process, gradually adding and removing noise from data. These models have gained…
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md Shahin Ali, Md Manjurul Ahsan, Lamia Tasnim +7
Data privacy has become a major concern in healthcare due to the increasing digitization of medical records and data-driven medical research. Protecting sensitive patient informati…
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing
Md Manjurul Ahsan, Shivakumar Raman, Zahed Siddique
Additive manufacturing (AM), particularly 3D printing, has revolutionized the production of complex structures across various industries. However, ensuring quality and detecting de…
Defect Analysis of 3D Printed Cylinder Object Using Transfer Learning Approaches
Md Manjurul Ahsan, Shivakumar Raman, Zahed Siddique
Additive manufacturing (AM) is gaining attention across various industries like healthcare, aerospace, and automotive. However, identifying defects early in the AM process can redu…