Description
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.
Typham this is the title: Spectroscopy and Machine Learning for Water Quality Analysis 1st Edition
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