Islam, M.S.; Sultana, S.; Farid, F.A.; Islam, M.N.; Rashid, M.; Bari, B.S.; Hashim, N.; Husen, M.N.
Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification. Sensors 2022, 22, 6079.
https://doi.org/10.3390/s22166079
AMA Style
Islam MS, Sultana S, Farid FA, Islam MN, Rashid M, Bari BS, Hashim N, Husen MN.
Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification. Sensors. 2022; 22(16):6079.
https://doi.org/10.3390/s22166079
Chicago/Turabian Style
Islam, Md Shofiqul, Sunjida Sultana, Fahmid Al Farid, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Noramiza Hashim, and Mohd Nizam Husen.
2022. "Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification" Sensors 22, no. 16: 6079.
https://doi.org/10.3390/s22166079
APA Style
Islam, M. S., Sultana, S., Farid, F. A., Islam, M. N., Rashid, M., Bari, B. S., Hashim, N., & Husen, M. N.
(2022). Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification. Sensors, 22(16), 6079.
https://doi.org/10.3390/s22166079
