COVID-19 Data Analysis and Appropriate Vaccine Prediction using Machine Learning. - Md. Oli Ullah; SM Nuruzzaman Nobel (UEMCON, 2022)

Palm Leaf Health Management: A Hybrid Approach for Automated Disease Detection and Therapy Enhancement. - SM Nuruzzaman Nobel; Md. Asif Imran; Nahida Zaman Bina; Md. Mohsin Kabir; Mejdl S. Safran; Sultan Alfarhood; Muhammad Firoz Mridha (IEEE Access, 2024)

Analyzing Musical Characteristics of National Anthems in Relation to Global Indices. - S. M. Rakib Hasan; Aakar Dhakal; Ayesha Siddiqua; Mohammad Mominur Rahman; Md. Maidul Islam; Mohammed Arfat Raihan Chowdhury; S. M. Masfequier Rahman Swapno; SM Nuruzzaman Nobel (CoRR, 2024)

Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques. - Muhammad Mostafa Monowar; SM Nuruzzaman Nobel; Maharin Afroj; Md. Abdul Hamid; Md. Zia Uddin; Md. Mohsin Kabir; Muhammad Firoz Mridha (Frontiers Artif. Intell., 2024)

Unmasking Banking Fraud: Unleashing the Power of Machine Learning and Explainable AI (XAI) on Imbalanced Data. - SM Nuruzzaman Nobel; Shirin Sultana; Sondip Poul Singha; Sudipto Chaki; Md. Julkar Nayeen Mahi; Tony Jan; Alistair Barros; Md Whaiduzzaman (Inf., 2024)

CancerNet: A comprehensive deep learning framework for precise and intelligible cancer identification. - SM Nuruzzaman Nobel; Shirin Sultana; All Moon Tasir; M. F. Mridha 001; Zeyar Aung (Comput. Biol. Medicine, 2025)

ViT-SENet-Tom: machine learning-based novel hybrid squeeze-excitation network and vision transformer framework for tomato fruits classification. - S. M. Masfequier Rahman Swapno; SM Nuruzzaman Nobel; Md Babul Islam; Pronaya Bhattacharya; Ebrahim A. Mattar (Neural Comput. Appl., 2025)

CRT: A Convolutional Recurrent Transformer for Automatic Sleep State Detection. - SM Nuruzzaman Nobel; S. M. Masfequier Rahman Swapno; Md. Mohsin Kabir; Muhammad Firoz Mridha; Nilanjan Dey; R. Simon Sherratt (IEEE J. Biomed. Health Informatics, 2025)