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ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification

Research article (Neural Computing and Applications, 2025) · cited 34× · AI/ML
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ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification

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ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/vit-senet-tom-machine-learning-based-novel-hybrid-squeezeexcitation-network-and-vision-transformer-framework-for-tomato-
MLA “ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vit-senet-tom-machine-learning-based-novel-hybrid-squeezeexcitation-network-and-vision-transformer-framework-for-tomato-.
BibTeX @misc{4ortxyz_vit-senet-tom-machine-learning-based-novel-hybrid-squeezeexcitation-network-and-vision-transformer-framework-for-tomato-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification}}, year = {2026}, url = {https://4ort.xyz/entity/vit-senet-tom-machine-learning-based-novel-hybrid-squeezeexcitation-network-and-vision-transformer-framework-for-tomato-}, note = {Accessed: 2026-05-24}}
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