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Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification

Research article (Engineering Science and Technology an International Journal, 2021) · cited 23× · AI/ML
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Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification

Summary

Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification is a scholarly article[1].

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  • Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification'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). Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/fusing-deep-convolutional-neural-network-features-with-thepades-sbtc-for-land-usage-identification
MLA “Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fusing-deep-convolutional-neural-network-features-with-thepades-sbtc-for-land-usage-identification.
BibTeX @misc{4ortxyz_fusing-deep-convolutional-neural-network-features-with-thepades-sbtc-for-land-usage-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification}}, year = {2026}, url = {https://4ort.xyz/entity/fusing-deep-convolutional-neural-network-features-with-thepades-sbtc-for-land-usage-identification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification — https://4ort.xyz/entity/fusing-deep-convolutional-neural-network-features-with-thepades-sbtc-for-land-usage-identification (retrieved 2026-05-24)

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