|
|
|
|
|
Zhihao Zhao, Mingliang Wu and Xiaohu Jiang
In agricultural engineering, the discrete element simulation of the operational structure, object of movement, and force has become a standard method of modern agricultural equipment design. The selection and development of an appropriate contact model a...
ver más
|
|
|
|
|
|
|
|
|
F. Necati Catbas, Jacob Anthony Cano, Furkan Luleci, Lori C. Walters and Robert Michlowitz
This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point clouds...
ver más
|
|
|
|
|
|
|
|
|
Yongen Lin, Dagang Wang, Tao Jiang and Aiqing Kang
Reliable streamflow forecasting is a determining factor for water resource planning and flood control. To better understand the strengths and weaknesses of newly proposed methods in streamflow forecasting and facilitate comparisons of different research ...
ver más
|
|
|
|
|
|
|
|
|
Gergely Ámon, Katalin Bene, Richard Ray, Zoltán Gribovszki and Péter Kalicz
More frequent high-intensity, short-duration rainfall events increase the risk of flash floods on steeply sloped watersheds. Where measured data are unavailable, numerical models emerge as valuable tools for predicting flash floods. Recent applications o...
ver más
|
|
|
|
|
|
|
|
|
Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
ver más
|
|
|
|