Titlebook: Water Resource Management in Climate Change Scenario; Innovations in Geosp Swapan Talukdar,Shahfahad,Atiqur Rahman Book 2024 The Editor(s)

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Recent Trends in Application of Geospatial Technologies and AI for Monitoring and Management of Wat processes. The geospatial techniques and artificial intelligence (AI) have provided several advantages in water resource studies over traditional models by offering high-resolution spatial data, facilitating real-time monitoring, predictive modelling, complicated pattern detection, and climate chan

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Osteoarthritis

Kidney-Failure

Genetics

Wetland Habitat Health Condition Modeling Using Ensemble Machine Learning Algorithmsiability (RVA), and change rate of water presence were meticulously prepared, alongside indicators like agricultural presence frequency, Chlorophyll-a (Chl-a) concentration, and Temperature Condition Index (TCI) estimations derived from land surface temperature (LST) data. These indicators were inte

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Effect of Hydrological Modification on Wetland Morphology in Reference to Parts of the Bagri Region A negative association was found between hydrological stability and morphological instability. Poor hydrological condition reinvigorates the morphological insecurity of the wetland as the anthropogenic pressure made the outer area more vulnerable and prevented the wetland to maintain desired hydrol

MIRTH

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laceration

gnarled

Integration of Machine Learning Models with Game Theory for Understanding Water-Induced Soil Erosionighting areas of high susceptibility to erosion, particularly Bharalu, Silsako, and Foreshore. Furthermore, after rigorous optimization, the RF model achieved impressive accuracy, with a root mean square error (RMSE) of 1.66 and mean absolute error (MAE) of 1.1, indicating reliability. Precipitation