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ORCIDAditya Rajbongshi
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2020 – today
- 2024
[j2]Aditya Rajbongshi, Rashiduzzaman Shakil
, Bonna Akter, Munira Akter Lata, Md. Mahbubul Alam Joarder:
A comprehensive analysis of feature ranking-based fish disease recognition. Array 21: 100329 (2024)- 2023
- [j1]Rashiduzzaman Shakil, Shawn Islam, Yeasir Arafat Shohan, Anonto Mia, Aditya Rajbongshi, Md Habibur Rahman, Bonna Akter:
Addressing agricultural challenges: An identification of best feature selection technique for dragon fruit disease recognition. Array 20: 100326 (2023) - 2022
- [c4]Bonna Akter, Rashiduzzaman Shakil, Aditya Rajbongshi, Sara Umme, Mala Rani Barman:
Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach. ICCCNT 2022: 1-6 - 2021
- [c3]Al Amin Biswas, Md. Sabab Zulfiker, Aditya Rajbongshi, Md. Jueal Mia, Anup Majumder:
Feature Ranking Based Carrot Disease Recognition Using MIFS Method. HIS 2021: 56-68 - [c2]Thaharim Khan, Faisal Arafat, Aditya Rajbongshi, Sheak Rashed Haider Noori, Zahid Hasan:
Optimal Decision Making for Deep Learning-Based Prediction with Combinatorial Optimization. ICCCNT 2021: 1-6 - 2020
- [c1]Thaharim Khan, Faisal Arafat, Mayen Uddin Mojumdar, Aditya Rajbongshi, Shah Md. Tanvir Siddiquee, Narayan Ranjan Chakraborty:
A Machine Learning Approach for Predicting the Sunspot of Solar Cycle. ICCCNT 2020: 1-4
Coauthor Index
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