ENHANCING PARTICLE BREAKAGE AND ENERGY UTILIZATION IN BALL MILLS: AN INTEGRATED DEM AND SPH APPROACH



Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree

The main purpose of this paper is to present some potential applications of sophisticated data mining techniques, such as artificial neural network (ANN) and boosted tree (BT), for landslide susceptibility modeling in the Yongin area, Korea.Initially, landslide inventory was detected from visual interpretation using digital aerial photographic maps

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