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Image-based Lagrangian Particle Tracking in Bed-load Experiments
Published on: July 20, 2017
Fan Zhang1,2, Yuanfa Ji1, Xiaoming Liu3
1School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China.
本研究介绍了EoML-SlideNet,这是一个轻量级的框架,用于精确地预测边缘设备上的山体滑坡位移. 它为脆弱的地形提供了更快,更响应的早期预警系统.
08:09Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
Published on: September 12, 2017
09:44Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
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