98 citations · 307 across the 29 of their papers we have counts for
29 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…
Artificial Intelligence and Journalism: A Systematic Bibliometric and Thematic Analysis of Global Research
Mohammad Al Masum Molla, Md Manjurul Ahsan
Artificial Intelligence (AI) is reshaping journalistic practices across the globe, offering new opportunities while raising ethical, professional, and societal concerns. This study…
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…
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.…
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework
Jannatul Nayem, Sayed Sahriar Hasan, Noshin Amina +4
Deep learning becomes an elevated context regarding disposing of many machine learning tasks and has shown a breakthrough upliftment to extract features from unstructured data. Tho…
Invariant Scattering Transform for Medical Imaging
Md Manjurul Ahsan, Shivakumar Raman, Zahed Siddique
Over the years, the Invariant Scattering Transform (IST) technique has become popular for medical image analysis, including using wavelet transform computation using Convolutional…
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…
Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights
Md Manjurul Ahsan, Tareque Abu Abdullah, Md Shahin Ali +4
The recent development of Monkeypox disease among various nations poses a global pandemic threat when the world is still fighting Coronavirus Disease-2019 (COVID-19). At its dawn,…
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…
Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16
Md Manjurul Ahsan, Muhammad Ramiz Uddin, Mithila Farjana +3
While the world is still attempting to recover from the damage caused by the broad spread of COVID-19, the Monkeypox virus poses a new threat of becoming a global pandemic. Althoug…
Monkeypox Image Data collection
Md Manjurul Ahsan, Muhammad Ramiz Uddin, Shahana Akter Luna
This paper explains the initial Monkeypox Open image data collection procedure. It was created by assembling images collected from websites, newspapers, and online portals and curr…
Design and Development of an Autonomous Surface Vehicle for Water Quality Monitoring
MM Rashid, Rupal Roy, Md Manjurul Ahsan +1
Manually monitoring water quality is very exhausting and requires several hours of sampling and laboratory testing for a particular body of water. This article presents a solution…
The development of a portable elbow exoskeleton with a Twisted Strings Actuator to assist patients with upper limb inhabitation
Rupal Roy, MM Rashid, Md Manjurul Ahsan +1
Over the years, the number of exoskeleton devices utilized for upper-limb rehabilitation has increased dramatically, each with its own set of pros and cons. Most exoskeletons are n…
Industry 4.0 in Health care: A systematic review
Md Manjurul Ahsan, Zahed Siddique
Industry 4.0 in health care has evolved drastically over the past century. In fact, it is evolving every day, with new tools and strategies being developed by physicians and resear…