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Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China
Research article (Journal of Spectroscopy, 2021) · cited 15× · AI/ML
Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China
Summary
Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China is a scholarly article[1].
Key Facts
Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-of-the-effectiveness-of-multiple-machine-learning-methods-in-remote-sensing-quantitative-retrieval-of-suspend
MLA“Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-of-the-effectiveness-of-multiple-machine-learning-methods-in-remote-sensing-quantitative-retrieval-of-suspend.
BibTeX@misc{4ortxyz_evaluation-of-the-effectiveness-of-multiple-machine-learning-methods-in-remote-sensing-quantitative-retrieval-of-suspend_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-of-the-effectiveness-of-multiple-machine-learning-methods-in-remote-sensing-quantitative-retrieval-of-suspend}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China — https://4ort.xyz/entity/evaluation-of-the-effectiveness-of-multiple-machine-learning-methods-in-remote-sensing-quantitative-retrieval-of-suspend (retrieved 2026-05-24)
