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ConvNeXt based semi-supervised approach with consistency regularization for weeds classification

Research article (Expert Systems with Applications, 2023) · cited 35× · AI/ML
academia openalex:W4388312080
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ConvNeXt based semi-supervised approach with consistency regularization for weeds classification

Summary

ConvNeXt based semi-supervised approach with consistency regularization for weeds classification is a scholarly article[1].

Key Facts

  • ConvNeXt based semi-supervised approach with consistency regularization for weeds 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). ConvNeXt based semi-supervised approach with consistency regularization for weeds classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/convnext-based-semi-supervised-approach-with-consistency-regularization-for-weeds-classification
MLA “ConvNeXt based semi-supervised approach with consistency regularization for weeds classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convnext-based-semi-supervised-approach-with-consistency-regularization-for-weeds-classification.
BibTeX @misc{4ortxyz_convnext-based-semi-supervised-approach-with-consistency-regularization-for-weeds-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ConvNeXt based semi-supervised approach with consistency regularization for weeds classification}}, year = {2026}, url = {https://4ort.xyz/entity/convnext-based-semi-supervised-approach-with-consistency-regularization-for-weeds-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ConvNeXt based semi-supervised approach with consistency regularization for weeds classification — https://4ort.xyz/entity/convnext-based-semi-supervised-approach-with-consistency-regularization-for-weeds-classification (retrieved 2026-05-24)

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