Items/Page: Sort: |
| Improvement of rainfall estimation from MSG data using Random Forests classification and regression [期刊论文] Atmospheric Research, 2018-01-01, 211 Ouallouche F.; Lazri M.; Ameur S. View/Download:2/0 |
| Research and application of a novel hybrid decomposition-ensemble learning paradigm with error correction for daily PM10 forecasting [期刊论文] Atmospheric Research, 2018-01-01, 201 Luo H.; Wang D.; Yue C.; Liu Y.; Guo H. View/Download:40/0 |
| Mining the intrinsic trends of CO2 solubility in blended solutions [期刊论文] Journal of CO2 Utilization, 2018-01-01, 26 Li H.; Zhang Z. View/Download:17/0 |
| Machine learning predictive framework for CO2 thermodynamic properties in solution [期刊论文] Journal of CO2 Utilization, 2018-01-01, 26 Zhang Z.; Li H.; Chang H.; Pan Z.; Luo X. View/Download:27/0 |
| Accurate prediction of miscibility of CO2 and supercritical CO2 in ionic liquids using machine learning [期刊论文] Journal of CO2 Utilization, 2018-01-01, 25 Mesbah M.; Shahsavari S.; Soroush E.; Rahaei N.; Rezakazemi M. View/Download:2/0 |
| Evaluating Different Machine Learning Methods for Upscaling Evapotranspiration from Flux Towers to the Regional Scale [期刊论文] Journal of Geophysical Research: Atmospheres, 2018-01-01, 123 (16 Xu T.; Guo Z.; Liu S.; He X.; Meng Y.; Xu Z.; Xia Y.; Xiao J.; Zhang Y.; Ma Y.; Song L. View/Download:40/0 |
| Automatic Classification of Auroral Images From the Oslo Auroral THEMIS (OATH) Data Set Using Machine Learning [期刊论文] Journal of Geophysical Research: Space Physics, 2018-01-01, 123 (7 Clausen L.B.N.; Nickisch H. View/Download:0/0 |
| Estimating Oxygen in the Southern Ocean Using Argo Temperature and Salinity [期刊论文] Journal of Geophysical Research: Oceans, 2018-01-01, 123 (6 Giglio D.; Lyubchich V.; Mazloff M.R. View/Download:11/0 |
| The First Comparison Between Swarm-C Accelerometer-Derived Thermospheric Densities and Physical and Empirical Model Estimates [期刊论文] Journal of Geophysical Research: Space Physics, 2018-01-01, 123 (6 Kodikara T.; Carter B.; Zhang K. View/Download:4/0 |
| Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia [期刊论文] International Journal of Climatology, 2018-01-01, 38 (13 Wang B.; Zheng L.; Liu D.L.; Ji F.; Clark A.; Yu Q. View/Download:3/0 |