Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning

Research article (Remote Sensing, 2021) · cited 30× · AI/ML
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Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning

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Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-selection-based-on-principal-component-regression-for-underwater-source-localization-by-deep-learning
MLA “Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-selection-based-on-principal-component-regression-for-underwater-source-localization-by-deep-learning.
BibTeX @misc{4ortxyz_feature-selection-based-on-principal-component-regression-for-underwater-source-localization-by-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning}}, year = {2026}, url = {https://4ort.xyz/entity/feature-selection-based-on-principal-component-regression-for-underwater-source-localization-by-deep-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning — https://4ort.xyz/entity/feature-selection-based-on-principal-component-regression-for-underwater-source-localization-by-deep-learning (retrieved 2026-05-24)

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