GarcÃa, 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. Appl. Sci. 2023, 13, 12497.
https://doi.org/10.3390/app132212497
AMA Style
GarcÃa 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.
https://doi.org/10.3390/app132212497
Chicago/Turabian Style
GarcÃa, José, Andres Leiva-Araos, Emerson Diaz-Saavedra, Paola Moraga, Hernan Pinto, and VÃctor Yepes.
2023. "Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing" Applied Sciences 13, no. 22: 12497.
https://doi.org/10.3390/app132212497
APA Style
GarcÃa, J., Leiva-Araos, A., Diaz-Saavedra, E., Moraga, P., Pinto, H., & Yepes, V.
(2023). Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing. Applied Sciences, 13(22), 12497.
https://doi.org/10.3390/app132212497
