Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data

Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024) · cited 19× · AI/ML
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Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data

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Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/fuzzy-similarity-analysis-of-effective-training-samples-to-improve-machine-learning-estimations-of-water-quality-paramet
MLA “Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fuzzy-similarity-analysis-of-effective-training-samples-to-improve-machine-learning-estimations-of-water-quality-paramet.
BibTeX @misc{4ortxyz_fuzzy-similarity-analysis-of-effective-training-samples-to-improve-machine-learning-estimations-of-water-quality-paramet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data}}, year = {2026}, url = {https://4ort.xyz/entity/fuzzy-similarity-analysis-of-effective-training-samples-to-improve-machine-learning-estimations-of-water-quality-paramet}, note = {Accessed: 2026-05-24}}
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