chronology
发表于 2025-3-30 09:51:07
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Consensus
发表于 2025-3-30 16:06:50
Geomorphic Risk Reduction Using Geospatial Methods and Tools
PALMY
发表于 2025-3-30 17:55:09
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sacrum
发表于 2025-3-30 21:21:07
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LANCE
发表于 2025-3-31 03:06:30
Artificial Neural Network Ensemble with General Linear Model for Modeling the Landslide Susceptibililowest RMSE and the highest ROC-AUC (0.864) and kappa index (0.889) during the validation phase (0.086). As per the result of ensemble model 20.99% area of the Mirik region is very highly susceptible for landslide. The anticipated model is reliable in lowering the danger of landslide risks for prosp
陶瓷
发表于 2025-3-31 07:23:13
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Enliven
发表于 2025-3-31 10:29:50
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Exonerate
发表于 2025-3-31 14:43:03
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