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Rashiduzzaman Shakil
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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
312022
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
212022
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
182021
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
172022
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
92022
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
72022
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
72022
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 647, 127-141, 2023
52023
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
42022
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
42022
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, 3541~3551, 2023
32023
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
22024
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
22023
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
22022
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
2nd International Conference on Ambient Intelligence in Health Care (ICAIHC …, 2024
2024
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