Get started
Author

Aditya Rajbongshi

An explainable AI-based approach for predicting undergraduate students academic performance
2025 · Fatema Tuz Johora, Md Nahid Hasan, et al. · Array · 79
Recognition of mango leaf disease using convolutional neural network models: a transfer learning approach
2021 · Aditya Rajbongshi, Thaharim Khan, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 69
PDF
A Machine Learning Approach to Detect the Brain Stroke Disease
2022 · Bonna Akter, Aditya Rajbongshi, et al. · International Conference on Smart Systems and Inventive Technology (ICSSIT) · 68
A comprehensive guava leaves and fruits dataset for guava disease recognition
2022 · Aditya Rajbongshi, Sadia Sazzad, et al. · Data in Brief · 53
PDF
Leveraging explainable AI for sustainable agriculture: a comprehensive review of recent advances
2026 · Aditya Rajbongshi, Fatema Tuz Johora, et al. · Artificial Intelligence Review · 51
Rose Diseases Recognition using MobileNet
2020 · Aditya Rajbongshi, Toma Sarker, et al. · International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) · 45
An extensive sunflower dataset representation for successful identification and classification of sunflower diseases
2022 · Umme Sara, Aditya Rajbongshi, et al. · Data in Brief · 43
PDF
Recognition of Local Birds of Bangladesh using MobileNet and Inception-v3
2020 · Md. Mahbubur Rahman, Al Amin, et al. · International Journal of Advanced Computer Science and Applications · 31
PDF
A Comprehensive Investigation to Cauliflower Diseases Recognition: An Automated Machine Learning Approach
2022 · Aditya Rajbongshi, Md. Ezharul Islam, et al. · International Journal on Advanced Science Engineering and Information Technology · 30
Sunflower Diseases Recognition Using Computer Vision-Based Approach
2021 · Aditya Rajbongshi, Al Amin Biswas, et al. · IEEE Region Humanitarian Technology Conference · 30
Recognition of Local Birds using Different CNN Architectures with Transfer Learning
2021 · Al Amin Biswas, Md. Mahbubur Rahman, et al. · International Conference on Computer Communication and Informatics (ICCCI) · 27
VegNet: An organized dataset of cauliflower disease for a sustainable agro-based automation system
2022 · Umme Sara, Aditya Rajbongshi, et al. · Data in Brief · 24
PDF
Addressing agricultural challenges: An identification of best feature selection technique for dragon fruit disease recognition
2023 · Rashiduzzaman Shakil, Shawn Islam, et al. · Array · 22
RoseNet: Rose leave dataset for the development of an automation system to recognize the diseases of rose
2022 · Sadia Sazzad, Aditya Rajbongshi, et al. · Data in Brief · 22
PDF
Local Freshwater Fish Recognition Using Different CNN Architectures with Transfer Learning
2021 · Anup Majumder, Aditya Rajbongshi, et al. · International Journal on Advanced Science Engineering and Information Technology · 21
Carrot Disease Recognition using Deep Learning Approach for Sustainable Agriculture
2021 · Naimur Rashid Methun, Rumana Yasmin, et al. · International Journal of Advanced Computer Science and Applications · 20
PDF
Bangla Optical Character Recognition and Text-to-Speech Conversion using Raspberry Pi
2020 · Aditya Rajbongshi, Md. Ibadul, et al. · International Journal of Advanced Computer Science and Applications · 20
PDF
Sentiment Analysis on User Reaction for Online Food Delivery Services using BERT Model
2021 · Jahanur Biswas, Md. Mahbubur Rahman, et al. · International Conference on Advanced Computing and Communication Systems (ICACCS) · 19
A comprehensive analysis of feature ranking-based fish disease recognition
2023 · Aditya Rajbongshi, Rashiduzzaman Shakil, et al. · Array · 16
Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach
2022 · Bonna Akter, Rashiduzzaman Shakil, et al. · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · 12
A Transfer Learning Approach to the Development of an Automation System for Recognizing Guava Disease Using CNN Models for Feasible Fruit Production
2023 · Rashiduzzaman Shakil, Bonna Akter, et al. · Lecture notes in networks and systems · 11
Automated classification of diseased cauliflower: a feature-driven machine learning approach
2024 · Mala Rani Barman, Al Amin Biswas, et al. · TELKOMNIKA (Telecommunication Computing Electronics and Control) · 7
PDF
Feature Ranking Based Carrot Disease Recognition Using MIFS Method
2022 · Al Amin Biswas, Md. Sabab Zulfiker, et al. · Lecture notes in networks and systems · 5
A Machine Learning Approach for Predicting the Sunspot of Solar Cycle
2020 · Thaharim Khan, Faisal Arafat, et al. · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · 4
Explainable Analysis of Student Stress Using Data-Driven Models and SHAP
2026 · Md Saiful Islam, Md Tazul Islam, et al. · International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) · 1
Works count: 37
Citation count: 746
H-index: 18
I10-index: 21
Year
Topic
Type