Titlebook: Water Informatics; Challenges and Solut Supreeti Kamilya,Arindam Biswas,Sheng-Lung Peng Book 2024 The Editor(s) (if applicable) and The Aut

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Algorithms for Water Body Extraction from Remote Sensing Data,ccuracy of this process is how each method‘s optimal selection of its parameters. Currently, normalized difference water body index (NDWI) method, SVM, CART, Object-oriented detection, Agglomerative and K-Means clustering, U-NET and CNN are the algorithms experimented and the corresponding observati

Motilin

Algorithms for Water Body Extraction from Remote Sensing Data,ccuracy of this process is how each method‘s optimal selection of its parameters. Currently, normalized difference water body index (NDWI) method, SVM, CART, Object-oriented detection, Agglomerative and K-Means clustering, U-NET and CNN are the algorithms experimented and the corresponding observati

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Simulation of Water Distribution System Using Deep Learning Approaches, by data are only some of the uses that have been proven for the technology. Both the development of a metamodel to replace physics-based models (hydraulic and water quality) for regulating water distribution and the identification of irregularities in time series data (including pressures, flows, a

Directed

Simulation of Water Distribution System Using Deep Learning Approaches, by data are only some of the uses that have been proven for the technology. Both the development of a metamodel to replace physics-based models (hydraulic and water quality) for regulating water distribution and the identification of irregularities in time series data (including pressures, flows, a

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Water Informatics and Its Emergence: The Context of Foundation, Applications and Latest Technologie are also changing viz. Cloud Computing, Big Data, Advanced Geo Information Systems, Remote Sensing and so on. Use of artificial intelligence, machine learning and Internet of Things (IoT) are also considered as latest addition in this space. This chapter is about Water Informatics including illustr