Challenges and Solutions Using State of Art Technologies Kamilya, Supreeti. editor. edt http://id.loc.gov/vocabulary/relators/edt Biswas, Arindam. editor. edt http://id.loc.gov/vocabulary/relators/edt Peng, Sheng-Lung. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XI, 235 p. 91 illus., 72 illus. in color. online resource. 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. . 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. edited by Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng. Machine learning Application software Environmental protection Civil engineering Machine Learning Computer and Information Systems Applications Soil and Water Protection Q325.5-.7 9789819715183 https://doi.org/10.1007/978-981-97-1518-3 https://doi.org/10.1007/978-981-97-1518-3 240622 20251030112327.0 978-981-97-1518-3