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Spectroscopy and Machine Learning for Water Quality Analysis

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Spectroscopy and sensor technology is routine in water quality evaluation, coupling with artificial intelligence is opening a new era of quality monitoring and predictive analysis. This book acquai...
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  • 08 April 2021
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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.

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Price: £99.00
Pages: 160
Publisher: Institute of Physics Publishing
Imprint: Institute of Physics Publishing
Publication Date: 08 April 2021
ISBN: 9780750330473
Format: eBook
BISACs:

SCIENCE / Spectroscopy & Spectrum Analysis, Spectrum analysis, spectrochemistry, mass spectrometry, TECHNOLOGY & ENGINEERING / Environmental / Pollution Control, Environmental monitoring, Artificial intelligence, Machine learning

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Chapter 3: 'The authors gratefully thank the Ministry of Research and Technology/BRIN, the Republic of Indonesia for supporting this work via the WCR Project 2020-2021'

Preface

1. FTIR spectroscopy and water quality

2. Fluorescence Spectroscopy and applications in water quality monitoring

3. Paper-based optical sensors for water analysis and monitoring

4. Nano-composite materials for water purification: Synthesis, Characterization and Applications

5. Advancing water quality assessment via artificial neural network