中文版 | English

在结果中检索

CCPortal

浏览/检索结果: 共5条，第1-5条 帮助

已选(0)清除 条数/页：   排序方式：
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 4
作者:  Ahmed, A. A. Masrur;  Deo, Ravinesh C.;  Raj, Nawin;  Ghahramani, Afshin;  Feng, Qi;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：29/0  |  提交时间：2021/12/07
Deep Learning-Based Predictive Framework for Groundwater Level Forecast in Arid Irrigated Areas 期刊论文
WATER, 2021, 卷号: 13, 期号: 18
作者:  Liu, Wei;  Yu, Haijiao;  Yang, Linshan;  Yin, Zhenliang;  Zhu, Meng;  Wen, Xiaohu
收藏  |  浏览/下载：15/0  |  提交时间：2022/04/28
EMPIRICAL MODE DECOMPOSITION  WAVELET ANALYSIS  QUANTILE REGRESSION  ALGORITHM  DEPTH  QUANTIFICATION  UNCERTAINTY  RECHARGE  MACHINES  DESIGN  
Evaluating trends and seasonality in modeled PM2.5 concentrations using empirical mode decomposition 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 卷号: 20, 期号: 22
作者:  Luo H.;  Astitha M.;  Hogrefe C.;  Mathur R.;  Trivikrama Rao S.
收藏  |  浏览/下载：41/0  |  提交时间：2022/01/18
Evaluating trends and seasonality in modeled PM2.5 concentrations using empirical mode decomposition 期刊论文
Atmospheric Chemistry and Physics, 2020, 卷号: 20, 期号: 22
作者:  Luo H.;  Astitha M.;  Hogrefe C.;  Mathur R.;  Trivikrama Rao S.
收藏  |  浏览/下载：30/0  |  提交时间：2020/12/08
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems 期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 570
作者:  Wen, Xiaohu;  Feng, Qi;  Deo, Ravinesh C.;  Wu, Min;  Yin, Zhenliang;  Yang, Linshan;  Singh, Vijay P.
收藏  |  浏览/下载：36/0  |  提交时间：2019/11/08
Expert system  Runoff  Integrated model  Complete ensemble empirical mode decomposition adaptive noise (CEEMDAN)  Variational mode decomposition (VMD)  Extreme learning machine (ELM)