| Sunflower diseases recognition using computer vision-based approach A Rajbongshi, AA Biswas, J Biswas, R Shakil, B Akter, MR Barman 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 1-5, 2021 | 19 | 2021 |
| A Transfer Learning Approach to the Development of an Automation System for Recognizing Guava Disease Using CNN Models for Feasible Fruit Production R Shakil, B Akter, A rajbongshi, U Sara, MR Barman, A Dhali Hybrid Intelligent Systems. HIS 2022. Lecture Notes in Networks and Systems …, 2023 | 5 | 2023 |
| Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach B Akter, R Shakil, A Rajbongshi, U Sara, MR Barman 2022 13th International Conference on Computing Communication and Networking …, 2022 | 4 | 2022 |
| Reactive and proactive routing protocols performance evaluation for MANETS using OPNET modeler simulation tools MR Barman, D Chakraborty, JK Das International Conference on Machine Intelligence and Emerging Technologies …, 2022 | 1 | 2022 |
| Automated classification of diseased cauliflower: a feature-driven machine learning approach MR Barman, AA Biswas, M Sultana, A Rajbongshi, MS Zulfiker, ... TELKOMNIKA (Telecommunication Computing Electronics and Control) 22 (4), 887-896, 2024 | | 2024 |
Bonna AkterStudent, Daffodil International University在 diu.edu.bd 的电子邮件经过验证
