Akibur Rahman Prodeep

ORCID: 0000-0002-0198-7586
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About
Contact & Profiles
Research Areas
  • Acne and Rosacea Treatments and Effects
  • Smart Agriculture and AI
  • Text and Document Classification Technologies
  • Dermatological and COVID-19 studies
  • Machine Learning and Data Classification
  • Date Palm Research Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Lung Cancer Diagnosis and Treatment
  • AI in cancer detection
  • Leaf Properties and Growth Measurement
  • Retinal and Optic Conditions
  • Face and Expression Recognition

Bangladesh University of Business and Technology
2022

Dhaka University of Engineering & Technology
2022

Feature selection is employed to reduce feature dimensions and computational complexity by eliminating irrelevant redundant features. A vast amount of increasing data its processing generate many sets, that are reduced the process improve performance in all sorts classification, regression, clustering models. This research performs a detailed analysis motivation concentrates on fundamental architecture selection. The study aims establish structured formation related popular methods such as...

10.1109/access.2022.3205618 article EN cc-by IEEE Access 2022-01-01

Detecting plant sickness is urgent according to the viewpoint of agribusiness, as illnesses frequently limit plants’ creation and will be helpful for phytopathologist. Notwithstanding, it challenging, regularly worldly, tedious perceive sicknesses with manual methodologies. All things considered, more significant part proposed models can analyze diseases a particular plant. Regardless multi-class grouping, model utilizes multilabel format system recognize both their disease. To...

10.1109/dasa54658.2022.9765063 article EN 2022 International Conference on Decision Aid Sciences and Applications (DASA) 2022-03-23

Detecting skin diseases is dire and perilous as per the perspective of contamination everything, like diseases, much time spread in human skin. Regardless, it testing, routinely common, drawn-out to see infections with manual strategies. In this manner, motorized acknowledgment outstandingly needed field dermatological mechanization. The capacity recognize ailments utilizing acne or rosacea pictures has been shown because ongoing advances computer vision. light massive piece proposed models...

10.1109/accai53970.2022.9752534 article EN 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) 2022-01-28

10.1109/accai53970.2022.10703375 article EN 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) 2022-01-28
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