Aditya Rajbongshi

According to our database, Aditya Rajbongshi authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Leveraging explainable AI for sustainable agriculture: a comprehensive review of recent advances.

Aditya Rajbongshi, Fatema Tuz Johora, Arafat Hossain, Md. Salauddin Sarker, Md. Habibur Rahman, Md. Wahidur Rahman, Fahad T. Alotaibi, Mohammad Ali Moni

Artif. Intell. Rev., March, 2026

2025

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

2024

A comprehensive analysis of feature ranking-based fish disease recognition.

Aditya Rajbongshi, Rashiduzzaman Shakil, Bonna Akter, Munira Akter Lata, Md. Mahbubul Alam Joarder

Array, March, 2024

2023

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, December, 2023

2022

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

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

A Transfer Learning Approach to the Development of an Automation System for Recognizing Guava Disease Using CNN Models for Feasible Fruit Production.

Rashiduzzaman Shakil, Bonna Akter, Aditya Rajbongshi, Sara Umme, Mala Rani Barman, Aditi Dhali

Proceedings of the Hybrid Intelligent Systems, 2022

2021

Feature Ranking Based Carrot Disease Recognition Using MIFS Method.

Al Amin Biswas, Md. Sabab Zulfiker, Aditya Rajbongshi, Md. Jueal Mia, Anup Majumder

Proceedings of the Hybrid Intelligent Systems, 2021

2020

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

Proceedings of the 11th International Conference on Computing, 2020