Incorporating an Integrated Software System for Stroke Prediction using Machine Learning Algorithms and Artificial Neural Network. - Md. Jalal Uddin Chowdhury; Ashab Hussan; Dewan Ashraful Islam Hridoy; Abu Sayed Sikder (CCWC, 2023)

A review-based study on different Text-to-Speech technologies. - Md. Jalal Uddin Chowdhury; Ashab Hussan (CoRR, 2023)

A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis. - Md. Arifuzzaman; Iftekhar Ahmed 006; Md. Jalal Uddin Chowdhury; Shadman Sakib; Mohammad Shoaib Rahman; Md. Ebrahim Hossain; Shakib Absar (CoRR, 2024)

A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis. - Md. Arifuzzaman; Iftekhar Ahmed 006; Md. Jalal Uddin Chowdhury; Mohammad Shoaib Rahman; Md. Ebrahim Hossain; Apurbo Deb Nath; Shakib Absar (Adv. Artif. Intell. Mach. Learn., 2025)

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 (CoRR, 2025)

Empowering Agricultural Insights: RiceLeafBD - A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique. - Sadia Afrin Rimi; Md. Jalal Uddin Chowdhury; Rifat Abdullah; Iftekhar Ahmed 006; Mahrima Akter Mim; Mohammad Shoaib Rahman (CoRR, 2025)

The Role, Trends, and Applications of Machine Learning in Undersea Communication: A Bangladesh Perspective. - Yousuf Islam; Sumon Chandra Das; Md. Jalal Uddin Chowdhury (CoRR, 2025)

Advancing Tabular Stroke Modelling Through a Novel Hybrid Architecture and Feature-Selection Synergy. - Yousuf Islam; Md. Jalal Uddin Chowdhury; Sumon Chandra Das (CoRR, 2025)