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Einband grossSpectroscopy and Machine Learning for Water Quality Analysis
ISBN/GTIN

Spectroscopy and Machine Learning for Water Quality Analysis

E-BookEPUB0 - No protectionE-Book
160 Seiten
Englisch
Institute of Physics Publishingerschienen am08.04.2021
Developments in artificial intelligence have provided an ever-increasingly powerful tool for better predictions across many fields. Increasing environmental pressures and population growth is having a major impact on the management and provision of safe drinking water, a constant concern of mankind throughout history. Academic, governmental, charitable, and commercial interest and initiatives are already exploring and utilizing artificial intelligence, machine learning, and deep learning as well as the IoT in the monitoring, management, and prediction of water quality. The continued application of such techniques with established spectroscopic and sensing tools has the potential for a major impact in the areas of water quality analysis and management.

Though the use of various spectroscopic methods 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 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 studiesmehr
Verfügbare Formate
BuchGebunden
EUR192,50
E-BookEPUB0 - No protectionE-Book
EUR164,99

Produkt

KlappentextDevelopments in artificial intelligence have provided an ever-increasingly powerful tool for better predictions across many fields. Increasing environmental pressures and population growth is having a major impact on the management and provision of safe drinking water, a constant concern of mankind throughout history. Academic, governmental, charitable, and commercial interest and initiatives are already exploring and utilizing artificial intelligence, machine learning, and deep learning as well as the IoT in the monitoring, management, and prediction of water quality. The continued application of such techniques with established spectroscopic and sensing tools has the potential for a major impact in the areas of water quality analysis and management.

Though the use of various spectroscopic methods 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 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
Details
Weitere ISBN/GTIN9780750330473
ProduktartE-Book
EinbandartE-Book
FormatEPUB
Format Hinweis0 - No protection
FormatE101
Erscheinungsjahr2021
Erscheinungsdatum08.04.2021
Seiten160 Seiten
SpracheEnglisch
IllustrationenWith figures in colour and black and white
Artikel-Nr.5725249
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Preface

1. FTIR spectroscopyand water quality

2. FluorescenceSpectroscopy and applications in water quality monitoring

3. Paper-based opticalsensors for water analysis and monitoring

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

5. Advancing waterquality assessment via artificial neural networkmehr

Autor

Ashutosh Kumar Shukla obtained his BSc, MSc and DPhil degrees from the University of Allahabad. His doctoral research work involved using electron spin resonance spectroscopy and optical absorption spectroscopy to investigate transition ion-doped single crystals. He has been a university teacher and researcher for 20 years and is currently an Associate Professor of Physics at Ewing Christian College, Allahabad, a University of Allahabad institution. He also served as an Associate Professor (Pure and Applied Physics) at Guru Ghasidas Vishwavidyalaya, Bilaspur, C.G. (A Central University). He has published numerous research papers in peer-reviewed journals and has edited various books, mostly on applications of EPR spectroscopy. He has delivered several invited lectures on characterization techniques at national and international conferences and workshops. He reviews manuscripts for a number of international journals. He has received numerous scholarships and fellowships, including National Scholarship, Scholarship of Ministry of Higher Education, Government of U. P., Research Fellowship of the Council of Science & Tech., Lucknow, U.P., Research Fellowship of the Council of Scientific & Industrial Research, New Delhi and the Indian National Science Academy-Bilateral Exchange Fellowship.

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