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A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases
Research article (International Journal of Computers and Applications, 2023) · cited 10× · AI/ML
A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases
Summary
A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases is a scholarly article[1].
Key Facts
A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-residual-learning-based-deep-learning-model-integrated-with-attention-mechanism-and-svm-for-identifying-tea-plan
MLA“A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-residual-learning-based-deep-learning-model-integrated-with-attention-mechanism-and-svm-for-identifying-tea-plan.
BibTeX@misc{4ortxyz_a-novel-residual-learning-based-deep-learning-model-integrated-with-attention-mechanism-and-svm-for-identifying-tea-plan_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-residual-learning-based-deep-learning-model-integrated-with-attention-mechanism-and-svm-for-identifying-tea-plan}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases — https://4ort.xyz/entity/a-novel-residual-learning-based-deep-learning-model-integrated-with-attention-mechanism-and-svm-for-identifying-tea-plan (retrieved 2026-05-24)
