A Machine Learning Approach for Predicting the Sunspot of Solar Cycle. - Thaharim Khan; Faisal Arafat; Mayen Uddin Mojumdar; Aditya Rajbongshi; Shah Md. Tanvir Siddiquee; Narayan Ranjan Chakraborty (ICCCNT, 2020)

Feature Ranking Based Carrot Disease Recognition Using MIFS Method. - Al Amin Biswas; Md. Sabab Zulfiker; Aditya Rajbongshi; Md. Jueal Mia; Anup Majumder (HIS, 2021)

Optimal Decision Making for Deep Learning-Based Prediction with Combinatorial Optimization. - Thaharim Khan; Faisal Arafat; Aditya Rajbongshi; Sheak Rashed Haider Noori; Zahid Hasan (ICCCNT, 2021)

Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach. - Bonna Akter; Rashiduzzaman Shakil; Aditya Rajbongshi; Sara Umme; Mala Rani Barman (ICCCNT, 2022)

Addressing agricultural challenges: An identification of best feature selection technique for dragon fruit disease recognition. - Rashiduzzaman Shakil; Shawn Islam; Yeasir Arafat Shohan; Anonto Mia; Aditya Rajbongshi; Md. Habibur Rahman; Bonna Akter (Array, 2023)

A comprehensive analysis of feature ranking-based fish disease recognition. - Aditya Rajbongshi; Rashiduzzaman Shakil; Bonna Akter; Munira Akter Lata; Md. Mahbubul Alam Joarder (Array, 2024)

An explainable AI-based approach for predicting undergraduate students academic performance. - Fatema Tuz Johora; Md Nahid Hasan; Aditya Rajbongshi; Md Ashrafuzzaman; Farzana Akter (Array, 2025)