Publication: Relevance of machine learning techniques in water infrastructure integrity and quality : a review powered by natural language processing
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2076-3417
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40 p.
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Acceso abierto
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Abstract
Water infrastructure integrity, quality, and distribution are fundamental for public health, environmental sustainability, economic development, and climate change resilience. Ensuring the robustness ...
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Citation
García J, Leiva-Araos A, Diaz-Saavedra E, Moraga P, Pinto H, Yepes V. Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing. Applied Sciences. 2023; 13(22):12497
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Atribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)
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