Verfügbarkeit: Water Informatics | Technische Universität München

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Bibliographische Detailangaben
Weitere beteiligte Personen:	Kamilya, Supreeti (HerausgeberIn), Biswas, Arindam (HerausgeberIn), Peng, Sheng-Lung (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 2024 Singapore Springer
Ausgabe:	1st ed. 2024
Schriftenreihe:	Water Informatics for Water Resource Management
Schlagwörter:	Machine Learning Computer and Information Systems Applications Soil and Water Protection Machine learning Application software Environmental protection Civil engineering
Links:	https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3
Umfang:	1 Online-Ressource (XI, 235 p. 91 illus., 72 illus. in color)
ISBN:	9789819715183
ISSN:	2731-9113
DOI:	10.1007/978-981-97-1518-3

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series2	Water Informatics for Water Resource Management
spellingShingle	Water Informatics Challenges and Solutions Using State of Art Technologies Machine Learning Computer and Information Systems Applications Soil and Water Protection Machine learning Application software Environmental protection Civil engineering
title	Water Informatics Challenges and Solutions Using State of Art Technologies
title_auth	Water Informatics Challenges and Solutions Using State of Art Technologies
title_exact_search	Water Informatics Challenges and Solutions Using State of Art Technologies
title_full	Water Informatics Challenges and Solutions Using State of Art Technologies edited by Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng
title_fullStr	Water Informatics Challenges and Solutions Using State of Art Technologies edited by Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng
title_full_unstemmed	Water Informatics Challenges and Solutions Using State of Art Technologies edited by Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng
title_short	Water Informatics
title_sort	water informatics challenges and solutions using state of art technologies
title_sub	Challenges and Solutions Using State of Art Technologies
topic	Machine Learning Computer and Information Systems Applications Soil and Water Protection Machine learning Application software Environmental protection Civil engineering
topic_facet	Machine Learning Computer and Information Systems Applications Soil and Water Protection Machine learning Application software Environmental protection Civil engineering
url	https://doi.org/10.1007/978-981-97-1518-3
work_keys_str_mv	AT kamilyasupreeti waterinformaticschallengesandsolutionsusingstateofarttechnologies AT biswasarindam waterinformaticschallengesandsolutionsusingstateofarttechnologies AT pengshenglung waterinformaticschallengesandsolutionsusingstateofarttechnologies

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