Desktop Application for Water Quality Prediction and Monitoring System Using ISO 9241-210 and Machine Learning Techniques-Reference-Cited by-同舟云学术

Desktop Application for Water Quality Prediction and Monitoring System Using ISO 9241-210 and Machine Learning Techniques

Published:2021 Issue: Volume: Page:44-57
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Guzman-Fernandez Maximiliano^ORCID,Luna-García Huizilopoztli^ORCID,Collazos Cesar A.^ORCID,Sarmiento Wilson J.^ORCID,Galvan-Tejada Jorge I.^ORCID,Gamboa-Rosales Hamurabi^ORCID,Galvan-Tejada Carlos E.^ORCID,Celaya-Padilla Jose M.^ORCID,Zambrano-de la Torre Misael^ORCID,Lara-Cisneros J. Guadalupe^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-92325-9_4

Reference23 articles.

1. World Water Resources;FI Arreguin-Cortes,2020

2. UNU-INWEH: Water Security & the Global Water Agenda. The UN-Water analytical brief, United Nat., vol. 53, no. 9. United Nations University, Canada (2013)

3. Global Water Partnership: Towards Water Security: A Framework for Action Foreword, Stockholm, Sweden (2000)

4. Peña, H.: Recursos Naturales e infraestructura. Desafíos de la seguridad hídrica en América Latina y el Caribe. Naciones Unidas (2016). https://repositorio.cepal.org/bitstream/handle/11362/40074/S1600566_es.pdf?sequence=1&isAllowed=y. Accessed 22 Oct 2020

5. World Water Resources;ME Raynal-Gutierrez,2020

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