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Machine Learning Techniques and Cloud Computing to Estimate River Water Quality—Survey

Ranjithkumar, M. / Robert, L.

The quality of the water for drinking purpose is an important aspect to be considered to the well-being of nature and humans. River water is the major source for drinking, agribusiness, and hydroelectric power plants, and as the river flows through different areas, assessment of change in quality has to be done by the water authorities regularly. This paper displays an overview of arrangements of different machine learning techniques to recognize contamination in waterway water. In this survey, a helpful examination of different river water dataset and categorizer utilized for classifying of river water is done successfully.

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Machine Learning Techniques and Cloud Computing to Estimate River Water Quality—Survey

Ranjithkumar, M. / Robert, L.

The quality of the water for drinking purpose is an important aspect to be considered to the well-being of nature and humans. River water is the major source for drinking, agribusiness, and hydroelectric power plants, and as the river flows through different areas, assessment of change in quality has to be done by the water authorities regularly. This paper displays an overview of arrangements of different machine learning techniques to recognize contamination in waterway water. In this survey, a helpful examination of different river water dataset and categorizer utilized for classifying of river water is done successfully.

Machine Learning Techniques and Cloud Computing to Estimate River Water Quality—Survey

Ranjithkumar, M. / Robert, L.

The quality of the water for drinking purpose is an important aspect to be considered to the well-being of nature and humans. River water is the major source for drinking, agribusiness, and hydroelectric power plants, and as the river flows through different areas, assessment of change in quality has to be done by the water authorities regularly. This paper displays an overview of arrangements of different machine learning techniques to recognize contamination in waterway water. In this survey, a helpful examination of different river water dataset and categorizer utilized for classifying of river water is done successfully.

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Titel:

Machine Learning Techniques and Cloud Computing to Estimate River Water Quality—Survey

Weitere Titelangaben:

Lect. Notes in Networks, Syst.

Beteiligte:

Ranganathan, G. (Herausgeber:in) / Chen, Joy (Herausgeber:in) / Rocha, Álvaro (Herausgeber:in) / Ranjithkumar, M. (Autor:in) / Robert, L. (Autor:in)

Erschienen in:

Inventive Communication and Computational Technologies ; Kapitel: 32 ; 387-396

Lecture Notes in Networks and Systems ; 145

Erscheinungsdatum:

25.09.2020

Format / Umfang:

10 pages

ISBN:

978-981-15-7345-3 , 978-981-15-7344-6

ISSN:

2367-3389 , 2367-3370

DOI:

https://doi.org/10.1007/978-981-15-7345-3_32

Medientyp:

Aufsatz/Kapitel (Buch)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Water pollution , Machine learning , Cloud computing , Internet of things Engineering , Communications Engineering, Networks , Computer Communication Networks , Input/Output and Data Communications , Artificial Intelligence

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