activity
20212024
most citedMachine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review

19 citations · 35 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2024

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…

cs.CV2023

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…

eess.IV2023

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…

cs.LG20231 cited

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…

cs.LG20214 cited

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…

cs.CV202111 cited

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…