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Spectroscopy and machine learning for water quality analysis /
Though the use of various spectroscopic methods and sensor technology is routine in water quality evaluation. Coupled with artificial intelligence, machine learning, and deep learning methods are opening a new era of quality monitoring and predictive analysis. This book acquaints experienced readers...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
IOP Publishing,
[2021]
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| Colección: | IOP (Series). Release 21.
IOP series in spectroscopic methods and applications. IOP ebooks. 2021 collection. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Though the use of various spectroscopic methods and sensor technology is routine in water quality evaluation. Coupled with artificial intelligence, machine learning, and deep learning methods are opening a new era of quality monitoring and predictive analysis. This book acquaints experienced readers with recent advances and how these techniques are finding applications in water analysis for sectors including environmental protection, industry, agriculture, and drinking water provision. Taking a bottom-up approach the work is also suited for an interdisciplinary readership who may not have direct experience in a particular technique. Qualitative and quantitative analysis of data with the help of observed data is included, as are case studies. Part of IOP Series in Spectroscopic Methods and Applications. |
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| Notas: | "Version: 20210204"--Title page verso. |
| Descripción Física: | 1 online resource (various pagings) : illustrations (some color). Also available in print. |
| Público: | Primary: Professionals & researchers in academia and Industry, advanced students involved with AI, environmental monitoring and smart sensor systems. Secondary: Technicians involved in the water quality analysis/management. |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9780750330473 9780750330466 |