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

限定条件        
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：26/0  |  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  
Hybrid deep learning method for a week-ahead evapotranspiration forecasting 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021
作者:  Ahmed, A. A. Masrur;  Deo, Ravinesh C.;  Feng, Qi;  Ghahramani, Afshin;  Raj, Nawin;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：22/0  |  提交时间：2021/12/07
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity 期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 599
作者:  Ahmed, A. A. Masrur;  Deo, Ravinesh C.;  Feng, Qi;  Ghahramani, Afshin;  Raj, Nawin;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/07
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 卷号: 35, 期号: 9
作者:  Ahmed, A. A. Masrur;  Deo, Ravinesh C.;  Ghahramani, Afshin;  Raj, Nawin;  Feng, Qi;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：29/0  |  提交时间：2021/12/07