Our Research Contributions

Publications

Explore our published research in top-tier conferences and journals

All Publications

Search and filter through our research publications

Type
Year
Topics
Showing 13 publications

Featured Publications

Enhancing Lung Cancer Classification Performance on Diverse Datasets: Utilizing Advanced Feature Selection and Novel Ensemble Approaches

Danbir Rashid, Mazharul Islam Tohin, Md. Jalal Uddin Chowdhury, Md. Jehadul Islam Mony

ICCIT 20242024Published

MedicalAdvanced Feature SelectionEnsemble Approach

All Publications

Empowering Agricultural Insights: RiceLeafBD - A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique

Md Jalal Uddin Chowdhury

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY2025Accepted with minor revision

AgriculturalDeep LearningNovel Dataset

Enhancing Neurological Care: Multi-Label Classification Framework for Brain Disease Detection Using MRI

Shahriar Arefin Zummon, Md. Jalal Uddin Chowdhury

ECCE 20252025Published

Multilabel ClassificationBrain DiseaseDeep Learning

Advancing Chronic Kidney Disease Prediction through Machine Learning and Deep Learning with Feature Analysis

Shiddarth Dey Tusar, S. M. Ahad Ali Chowdhury, Md. Jalal Uddin Chowdhury, ...

Frontiers in Health Informatics2024Published

Deep Neural NetworksExplainabilityMedical AI

Plant Leaf Disease Detection and Classification Using Deep Learning: A Review and A Proposed System on Bangladesh's Perspective

Md. Jalal Uddin Chowdhury, Zumana Islam Mou, Rezwana Afrin, Shafkat Kibria

International Journal of Science and Business2024Published

Deep LearningAgricultureConvolutional Neural Network

Performance Analysis for Convolutional Neural Network Architectures using Brain Tumor Datasets: A Proposed System

Md. Jalal Uddin Chowdhury, Dr. Shafkat Kibria

IWAIIP 20232023Published

Deep LearningMedical AIConvolutional Neural Network

Optimizing Machine Learning for Short and Long-Term Rainfall Prediction in Bangladesh's Flood-Prone Sylhet Region: A Multi-Timescale Dataset Approach

Md. Jalal Uddin Chowdhury, Nasrin Sultana, Nafisa Tabassum Ahmed Meghla, Touhid Jahan Chy

Adcomsys 20252025Upcoming

Feature SelectionMachine LearningFlood

Advancing Rice Leaf Disease Detection using Vision Transformer on Real Datasets from Bangladesh

IAES Q3 Journal2025Under Review

AgriculturalDeep LearningTransformer

Advancing Tabular Stroke Modelling Through a Novel Hybrid Architecture and Feature-Selection Synergy

Yousuf Islam, Md. Jalal Uddin Chowdhury, Sumon Chandra Das

SC Q1 Journal2025Under Review

Hybrid ArchitectureFeature SelectionNovel Approach

The Role, Trends, and Applications of Machine Learning in Undersea Communication: A Bangladesh Perspective

Yousuf Islam, Sumon Chandra Das, Md. Jalal Uddin Chowdhury, Tajwar Tajwar Elahi Choudhury

WCN Q2 Journal2025Under Review

Undersea CommunicationMachine LearningBangladesh Perspective

TeaLeafBD: Evaluation of a Proposed Dataset for Enhanced Tea Leaf Disease Identification using baseline Models

Nasrin Sultana, Md. Jalal Uddin Chowdhury

QSPIN 20252025Under Review

Tea LeafDeep LearningAgriculture

Prognostic Modeling and Risk Factor Analysis for Dengue Fever Using Machine Learning Algorithms and Neural Networks

Danbir Rashid, Md. Jalal Uddin Chowdhury, Md. Ebrahim Hossain

2025Ongoing

Dengue FeverPrognostic ModelingBangladesh Perspective

Advancing Alzheimer Disease Identification using Deep Learning and Transformer

2025Ongoing

TransformerDeep LearningMedical Imaging