Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data

Research article (Remote Sensing, 2019) · cited 11× · AI/ML
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Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data

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Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantification-of-hydrocarbon-abundance-in-soils-using-deep-learning-with-dropout-and-hyperspectral-data
MLA “Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantification-of-hydrocarbon-abundance-in-soils-using-deep-learning-with-dropout-and-hyperspectral-data.
BibTeX @misc{4ortxyz_quantification-of-hydrocarbon-abundance-in-soils-using-deep-learning-with-dropout-and-hyperspectral-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data}}, year = {2026}, url = {https://4ort.xyz/entity/quantification-of-hydrocarbon-abundance-in-soils-using-deep-learning-with-dropout-and-hyperspectral-data}, note = {Accessed: 2026-05-24}}
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