19 citations · 61 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
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…
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…
Machine learning based disease diagnosis: A comprehensive review
Md Manjurul Ahsan, Zahed Siddique
Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient popu…
Driver Drowsiness Detection Using Ensemble Convolutional Neural Networks on YawDD
Rais Mohammad Salman, Mahbubur Rashid, Rupal Roy +2
Driver drowsiness detection using videos/images is one of the most essential areas in today's time for driver safety. The development of deep learning techniques, notably Convoluti…
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review
Md Manjurul Ahsan, Zahed Siddique
Heart disease is one of the significant challenges in today's world and one of the leading causes of many deaths worldwide. Recent advancement of machine learning (ML) application…