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Designing self attention-based ResNet architecture for rice leaf disease classification

Research article (Neural Computing and Applications, 2022) · cited 82× · AI/ML
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Designing self attention-based ResNet architecture for rice leaf disease classification

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Designing self attention-based ResNet architecture for rice leaf disease classification is a scholarly article[1].

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  • Designing self attention-based ResNet architecture for rice leaf disease classification's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Designing self attention-based ResNet architecture for rice leaf disease classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/designing-self-attention-based-resnet-architecture-for-rice-leaf-disease-classification
MLA “Designing self attention-based ResNet architecture for rice leaf disease classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/designing-self-attention-based-resnet-architecture-for-rice-leaf-disease-classification.
BibTeX @misc{4ortxyz_designing-self-attention-based-resnet-architecture-for-rice-leaf-disease-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Designing self attention-based ResNet architecture for rice leaf disease classification}}, year = {2026}, url = {https://4ort.xyz/entity/designing-self-attention-based-resnet-architecture-for-rice-leaf-disease-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Designing self attention-based ResNet architecture for rice leaf disease classification — https://4ort.xyz/entity/designing-self-attention-based-resnet-architecture-for-rice-leaf-disease-classification (retrieved 2026-05-24)

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