Noman, A.A.; Hossain, A.; Sakib, A.; Debnath, J.; Fardin, H.; Sakib, A.A.; Haque, R.; Ahmed, M.R.; Reza, A.W.; Dewan, M.A.A.
ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence. Computers 2025, 14, 171.
https://doi.org/10.3390/computers14050171
AMA Style
Noman AA, Hossain A, Sakib A, Debnath J, Fardin H, Sakib AA, Haque R, Ahmed MR, Reza AW, Dewan MAA.
ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence. Computers. 2025; 14(5):171.
https://doi.org/10.3390/computers14050171
Chicago/Turabian Style
Noman, Abdullah Al, Amira Hossain, Anamul Sakib, Jesika Debnath, Hasib Fardin, Abdullah Al Sakib, Rezaul Haque, Md. Redwan Ahmed, Ahmed Wasif Reza, and M. Ali Akber Dewan.
2025. "ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence" Computers 14, no. 5: 171.
https://doi.org/10.3390/computers14050171
APA Style
Noman, A. A., Hossain, A., Sakib, A., Debnath, J., Fardin, H., Sakib, A. A., Haque, R., Ahmed, M. R., Reza, A. W., & Dewan, M. A. A.
(2025). ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence. Computers, 14(5), 171.
https://doi.org/10.3390/computers14050171
