Mango diseases classification solutions using machine learning or deep learning: A review D Faye, I Diop, D Dione Journal of Computer and Communications 10 (12), 16-28, 2022 | 16 | 2022 |
Plant disease severity assessment based on machine learning and deep learning: A survey D Faye, I Diop, N Mbaye, D Dione, MM Diedhiou Journal of Computer and Communications 11 (9), 57-75, 2023 | 8 | 2023 |
Survey on crop disease detection and identification based on deep learning D Faye, I Diop International Conference on Innovations and Interdisciplinary Solutions for …, 2022 | 5 | 2022 |
Hardware security for IoT in the quantum era: Survey and challenges D Dione, B Seck, I Diop, PL Cayrel, D Faye, I Gueye Journal of Information Security 14 (4), 227-249, 2023 | 2 | 2023 |
A combination of data augmentation techniques for mango leaf diseases classification D Faye, I Diop, N Mbaye, D Dione Glob. J. Comput. Sci. Technol, 2023 | 2 | 2023 |
Mangofruitdds: A standard mango fruit diseases dataset made in africa D Faye, I Diop, N Mbaye, D Dione, MM Diedhiou International Conference on Advanced Research in Technologies, Information …, 2023 | 1 | 2023 |
Blockchain-based IoMT and secure EHR model: Case of Senegal D Dione, I Diop, D Faye, I Gueye, KW Keita, SM Farssi 2023 IEEE 12th International Conference on Communication Systems and Network …, 2023 | 1 | 2023 |
Mango Fruit Diseases Severity Estimation based on Image Segmentation and Deep Learning F Demba, D Idy, N MBAYE, D DIONE, MM DIEDHIOU | | 2024 |
IoT and Health Systems in Developing Countries: A Review D Dione, I Diop, D Faye, I Gueye, SM Farssi International Conference on Technological Advancement in Embedded and Mobile …, 2022 | | 2022 |