5 citations · 5 across the 2 of their papers we have counts for
3 papers
stat.ME2026
Spatial Prediction of Local Soil Erosion Distribution in the Wasserstein Space
Jiaming Qiu, Xiongtao Dai, Zhengyuan Zhu +1
Obtaining precise erosion measurements requires costly fieldwork, making it infeasible to directly survey large domains such as a province or river basin. To extend fieldwork resul…
stat.AP2019★ 5 cited
Identifying Precipitation Regimes in China Using Model-Based Clustering of Spatial Functional Data
Haozhe Zhang, Zhengyuan Zhu, Shuiqing Yin
The identification of precipitation regimes is important for many purposes such as agricultural planning, water resource management, and return period estimation. Since precipitati…
physics.ao-ph2018
Dimensionality-Reduction of Climate Data using Deep Autoencoders
J. A. Saenz, N. Lubbers, N. M. Urban
We explore the use of deep neural networks for nonlinear dimensionality reduction in climate applications. We train convolutional autoencoders (CAEs) to encode two temperature fiel…