Machine Learning for Water Quality Analysis (IOP ebooks) (IOP Series in Spectroscopic Methods and Applications) - Hardcover

Hardcover

ISBN 10: 0750330457 ISBN 13: 9780750330459

Publisher: Institute of Physics Publishing, 2021

Synopsis

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 acquaints readers with recent advances and applications for sectors including environmental protection, industry, agriculture, and drinking water provision.

About this title

About the Author

Ashutosh Kumar Shukla obtained his B.Sc., M.Sc. and D. Phil. 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.

Edition details

• Publisher: Institute of Physics Publishing
• Publication date: 2021
• Language: English
• ISBN 10: 0750330457
• ISBN 13: 9780750330459
• Binding: Hardcover
• Number of pages: 130
• Editor: Shukla Ashutosh Kumar