贪婪的人
发表于 2025-3-23 11:45:13
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
初学者
发表于 2025-3-23 15:00:21
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Osteoarthritis
发表于 2025-3-23 20:26:55
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Kidney-Failure
发表于 2025-3-24 01:12:55
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Genetics
发表于 2025-3-24 06:23:25
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
上下倒置
发表于 2025-3-24 06:35:55
Effect of Hydrological Modification on Wetland Morphology in Reference to Parts of the Bagri RegionA 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
发表于 2025-3-24 13:05:31
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虚情假意
发表于 2025-3-24 18:51:48
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laceration
发表于 2025-3-24 19:56:10
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gnarled
发表于 2025-3-25 01:13:13
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