Water Informatics

Challenges and Solutions Using State of Art Technologies
1. Auflage 2024
ISBN: 978-981-97-1517-6
Verlag: Springer

Buch, Englisch, 235 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 586 g

Reihe: Water Informatics for Water Resource Management

This book provides a clear view of various applications for water resource management using different state-of-the-art technologies such as artificial intelligence, IoT, and cellular automata. The book also shows the analytical part of surface water as well as groundwater bodies to control pollution and save ecology. It gives an idea about the collection of data for disaster management such as flood prediction and flood inoculation. The book provides the fundamental aspects of various computational or simulation methods for surface and underground water body detection, prediction of non-biodegradable elements in water bodies, water potability, and predictions of natural disasters like floods. The book summarizes different aspects of water body challenges and the possible solutions proposed using new technologies. The book opens up a future research direction of dealing with various challenges and solutions based on emerging technologies. This book comes up with a direction for the researchers interested in dealing with various aspects of water challenges and finding solutions using emerging technologies in the new era of modern computations.

Zielgruppe

Research

Autoren/Hrsg.

Kamilya, Supreeti

Biswas, Arindam

Peng, Sheng-Lung

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften

Inhaltsverzeichnis

An Analysis and Monitoring of Ground Water Quality and Disaster Management.- Presence of Non-biodegradable Polymer in the Hydro-logical Layers.- Applications of Elementary Cellular Automata for Water Informatics.- Identification of Water Potability using Machine Learning Techniques.- Soft Computing Techniques for Flood Prediction.

Über Autor(innen)

Dr. Supreeti Kamilya is working as Assistant Professor in the Department of Computer Science and Engineering since December 2021. She has received her master’s degree in computer science and Engineering from IIEST, Shibpur with 1st rank in 2015. She completed her Ph.D. from IIEST Shibpur in 2021. She works on various research topics such as Theoretical Computer Science (Cellular Automata), Chaos Theory, Machine Learning, Deep Learning. She has several journal and conference publication with International repute. She was awarded Visvesvaraya Fellowship during her Ph.D. She was Visiting Fellow at University of Turku, Finland. She was awarded best paper award different international conferences. She has act as Reviewer of different reputed journal.

Dr. Arindam Biswas received M.Tech. degree in Radio Physics and Electronics from University of Calcutta, India, in 2010, and Ph.D. from NIT Durgapur in 2013. He has worked as Post-doctoral Researcher at Pusan National University, South Korea, with prestigious BK21PLUS Fellowship, Republic of Korea. He has received DST-JSPS Invitation fellow at RIE, Japan, DST-ASEAN Invitation Fellow at Duy Tan University, Vietnam, and Taylors University, Malaysia, Visiting Fellow to Department of Electrical and Computer Engineering, National University Singapore. He has worked as Specially Appointed Associate Professor (Visiting) at Research Institute of Electronics, Shizouka University, Japan. Presently, he is working as Associate Professor in School of Mines and Metallurgy at Kazi Nazrul University, WB, India where he has been actively engaged in teaching, research, and administration. He has 53 technical papers in different journals and 55 conference proceedings and 8 authored books, 18 edited volumes and 10 book chapters with international repute.

Sheng-Lung Peng is Full Professor of the Department of Computer Science and Information Engineering at National Dong Hwa University, Taiwan. He received the B.S. degree in Mathematics from National Tsing Hua University, and the M.S. and Ph.D. degrees in Computer Science and Information Engineering from the National Chung Cheng University and National Tsing Hua University, Taiwan, respectively. His research interests are in designing and analyzing algorithms for Combinatorics, Bioinformatics, and Networks. He has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Computers and MDPI Algorithms. He published more than 100 international conferences and journal papers. He is now Dean of the Library and Information Services Office of NDHU and Honorary Professor of Beijing Information Science and Technology University of China. He is Secretary General of Institute of Information and Computing Machinery (IICM) in Taiwan.