activity
20202026
most citedStudy of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset

98 citations · 307 across the 29 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

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…

cs.LG2023

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.…

eess.IV2023★ 1 cited

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…

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.LG2023★ 1 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…