Spectroscopy and machine learning for water quality analysis / 
edited by Ashutosh Kumar Shukla. 
 - 1 online resource (various pagings) :  illustrations (some color). 
 - [IOP release $release] IOP series in spectroscopic methods and applications IOP ebooks. [2021 collection] .
 - IOP (Series).  Release 21. IOP series in spectroscopic methods and applications. IOP ebooks.  2021 collection. .
<br/><br/> "Version: 20210204"--Title page verso. 
<br/><br/>Includes bibliographical references. 
<br/><br/>1. FTIR spectroscopy and water quality / Daniel Cozzolino -- 2. Fluorescence spectroscopy and applications in water quality monitoring / Cong Wang and Daoliang Li -- 3. Paper-based optical sensors for water analysis and monitoring / Bambang Kuswandi -- 4. Nanocomposite materials for water purification : synthesis, characterization, and applications / Naumih M Noah and Peter M. Ndangili -- 5. Advancing water quality assessment via artificial neural networks (ANNs) / Sachchidanand Soaham Gupta, Rajeev Singh and Pratibha Chaudhary. 
<br/><br/> 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. 
<br/><br/> 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. 
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<br/><br/><br/>Mode of access: World Wide Web. <br/>System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. 
<br/><br/><br/>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. 
<br/><br/><label>ISBN: </label>9780750330473 9780750330466 
<br/><br/><label>Standard No.: </label>10.1088/978-0-7503-3047-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Water quality management--Data processing.<br/>Water quality--Measurement.<br/>Machine learning.<br/>Spectrum analysis.<br/>Environmental monitoring.<br/>SCIENCE / Spectroscopy & Spectrum Analysis.
<br/><br/><label>LC Class. No.: </label>TD370  / .S746 2021eb 
<br/><br/><label>Dewey Class. No.: </label>628.161