| A machine learning approach to detect the brain stroke disease B Akter, A Rajbongshi, S Sazzad, R Shakil, J Biswas, U Sara 2022 4th International Conference on Smart Systems and Inventive Technology …, 2022 | 39 | 2022 |
| A comprehensive guava leaves and fruits dataset for guava disease recognition A Rajbongshi, S Sazzad, R Shakil, B Akter, U Sara Data in Brief 42, 108174, 2022 | 24 | 2022 |
| 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 | 21 | 2021 |
| An extensive sunflower dataset representation for successful identification and classification of sunflower diseases U Sara, A Rajbongshi, R Shakil, B Akter, S Sazzad, MS Uddin Data in brief 42, 108043, 2022 | 20 | 2022 |
| A promising prediction of diabetes using a deep learning approach R Shakil, B Akter, F Faisal, TR Chowdhury, T Roy, A Khater 2022 6th International Conference on Computing Methodologies and …, 2022 | 12 | 2022 |
| VegNet: An organized dataset of cauliflower disease for a sustainable agro-based automation system U Sara, A Rajbongshi, R Shakil, B Akter, MS Uddin Data in Brief 43, 108422, 2022 | 9 | 2022 |
| An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection FMJM Shamrat, R Shakil, B Akter, MZ Ahmed, K Ahmed, FM Bui, MA Moni Healthcare Analytics 5, 100303, 2024 | 8 | 2024 |
| Systematic analysis of several deep learning approaches for covid-19 detection using x-ray images R Shakil, B Akter, FMJM Shamrat, N Jahan, S Hasan, A Khater 2022 3rd International Conference on Smart Electronics and Communication …, 2022 | 7 | 2022 |
| 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 International Conference on Hybrid Intelligent Systems, 127-141, 2022 | 5 | 2022 |
| A novel automated feature selection based approach to recognize cauliflower disease R Shakil, B Akter, FMJM Shamrat, SRH Noori Bulletin of Electrical Engineering and Informatics 12 (6), 3541-3551, 2023 | 4 | 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 |
| RoseNet: Rose leave dataset for the development of an automation system to recognize the diseases of rose S Sazzad, A Rajbongshi, R Shakil, B Akter, MS Kaiser Data in Brief 44, 108497, 2022 | 4 | 2022 |
| Addressing agricultural challenges: An identification of best feature selection technique for dragon fruit disease recognition R Shakil, S Islam, YA Shohan, A Mia, A Rajbongshi, MH Rahman, B Akter Array 20, 100326, 2023 | 3 | 2023 |
| VegNet: An extensive dataset of cauliflower images to recognize the diseases using machine learning and deep learning models A Rajbongshi, US Sara, R Shakil, B Akter, MS Uddin Mendeley Data 3, 2022 | 2 | 2022 |
| FruitSeg30_Segmentation Dataset & Mask Annotations: A Novel Dataset for Diverse Fruit Segmentation and Classification FMJM Shamrat, R Shakil, MYI Idris, B Akter, X Zhou Data in Brief, 110821, 2024 | | 2024 |
| A comprehensive analysis of feature ranking-based fish disease recognition A Rajbongshi, R Shakil, B Akter, MA Lata, MMA Joarder Array 21, 100329, 2024 | | 2024 |
| Toward Precision Diagnosis of Otitis Media: Introducing A Novel EARnet-AR Model R Shakil, FMJM Shamrat, S Sharmin, B Akter, MA Rubi, A Dutta 2023 2nd International Conference on Ambient Intelligence in Health Care …, 2023 | | 2023 |
| Healthcare Analytics B Akter, MZ Ahmed, K Ahmed, FM Bui, MA Moni | | |
Rashiduzzaman ShakilStudent, Daffodil International University在 diu.edu.bd 的电子邮件经过验证
