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Rashiduzzaman Shakil

Showing results (1-10 of 6) with videos related to

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Journal of Pathology Informatics|November 4, 2024
A precise machine learning model: Detecting cervical cancer using feature selection and explainable AIRashiduzzaman Shakil, Sadia Islam, Bonna Akter
Data in Brief|May 5, 2022
A comprehensive guava leaves and fruits dataset for guava disease recognitionAditya Rajbongshi, Sadia Sazzad, Rashiduzzaman Shakil, et al.
Data in Brief|July 11, 2022
VegNet: An organized dataset of cauliflower disease for a sustainable agro-based automation systemUmme Sara, Aditya Rajbongshi, Rashiduzzaman Shakil, et al.
Data in Brief|August 15, 2022
RoseNet: Rose leave dataset for the development of an automation system to recognize the diseases of roseSadia Sazzad, Aditya Rajbongshi, Rashiduzzaman Shakil, et al.
Data in Brief|April 8, 2022
An extensive sunflower dataset representation for successful identification and classification of sunflower diseasesUmme Sara, Aditya Rajbongshi, Rashiduzzaman Shakil, et al.
Data in Brief|September 10, 2024
FruitSeg30_Segmentation dataset & mask annotations: A novel dataset for diverse fruit segmentation and classificationF M Javed Mehedi Shamrat, Rashiduzzaman Shakil, Mohd Yamani Idna Idris, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Pathology Informatics|November 4, 2024
A precise machine learning model: Detecting cervical cancer using feature selection and explainable AIRashiduzzaman Shakil, Sadia Islam, Bonna Akter
Data in Brief|May 5, 2022
A comprehensive guava leaves and fruits dataset for guava disease recognitionAditya Rajbongshi, Sadia Sazzad, Rashiduzzaman Shakil, et al.
Data in Brief|July 11, 2022
VegNet: An organized dataset of cauliflower disease for a sustainable agro-based automation systemUmme Sara, Aditya Rajbongshi, Rashiduzzaman Shakil, et al.
Data in Brief|August 15, 2022
RoseNet: Rose leave dataset for the development of an automation system to recognize the diseases of roseSadia Sazzad, Aditya Rajbongshi, Rashiduzzaman Shakil, et al.
Data in Brief|April 8, 2022
An extensive sunflower dataset representation for successful identification and classification of sunflower diseasesUmme Sara, Aditya Rajbongshi, Rashiduzzaman Shakil, et al.
Data in Brief|September 10, 2024
FruitSeg30_Segmentation dataset & mask annotations: A novel dataset for diverse fruit segmentation and classificationF M Javed Mehedi Shamrat, Rashiduzzaman Shakil, Mohd Yamani Idna Idris, et al.
Pageof 1