(2026). Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification. Applied Computational Intelligence and Soft Computing.
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Chicago Style (17th ed.) Citation
"Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification."
Applied Computational Intelligence and Soft Computing 2026.
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MLA (9th ed.) Citation
"Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification."
Applied Computational Intelligence and Soft Computing, 2026.
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Warning: These citations may not always be 100% accurate.