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

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