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Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature

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Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature

Summary

Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature is a scholarly article[1].

Key Facts

  • Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancing-water-quality-assessment-and-prediction-using-machine-learning-models-coupled-with-explainable-artificial-inte
MLA “Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancing-water-quality-assessment-and-prediction-using-machine-learning-models-coupled-with-explainable-artificial-inte.
BibTeX @misc{4ortxyz_advancing-water-quality-assessment-and-prediction-using-machine-learning-models-coupled-with-explainable-artificial-inte_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature}}, year = {2026}, url = {https://4ort.xyz/entity/advancing-water-quality-assessment-and-prediction-using-machine-learning-models-coupled-with-explainable-artificial-inte}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature — https://4ort.xyz/entity/advancing-water-quality-assessment-and-prediction-using-machine-learning-models-coupled-with-explainable-artificial-inte (retrieved 2026-05-24)

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