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| Hybridized neural fuzzy ensembles for dust source modeling and prediction [期刊论文]
Atmospheric Environment, 2020-01-01, 224
Rahmati O.; Panahi M.; Ghiasi S.S.; Deo R.C.; Tiefenbacher J.P.; Pradhan B.; Jahani A.; Goshtasb H.; Kornejady A.; Shahabi H.; Shirzadi A.; Khosravi H.; Moghaddam D.D.; Mohtashamian M.; Tien Bui D.
 View/Download：9/0
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| Estimating hourly and continuous ground-level PM2.5 concentrations using an ensemble learning algorithm: The ST-stacking model [期刊论文]
Atmospheric Environment, 2020-01-01, 223
Feng L.; Li Y.; Wang Y.; Du Q.
View/Download：12/0
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| Hybridized neural fuzzy ensembles for dust source modeling and prediction [期刊论文]
Atmospheric Environment, 2020-01-01, 224
Rahmati O.; Panahi M.; Ghiasi S.S.; Deo R.C.; Tiefenbacher J.P.; Pradhan B.; Jahani A.; Goshtasb H.; Kornejady A.; Shahabi H.; Shirzadi A.; Khosravi H.; Moghaddam D.D.; Mohtashamian M.; Tien Bui D.
View/Download：19/0
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| Estimating hourly and continuous ground-level PM2.5 concentrations using an ensemble learning algorithm: The ST-stacking model [期刊论文]
Atmospheric Environment, 2020-01-01, 223
Feng L.; Li Y.; Wang Y.; Du Q.
View/Download：15/0
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| Going with the floe: Tracking CESM Large Ensemble sea ice in the Arctic provides context for ship-based observations [期刊论文]
Cryosphere, 2020-01-01, 14 (4
Duvivier A.K.; Derepentigny P.; Holland M.M.; Webster M.; Kay J.E.; Perovich D.
View/Download：7/0
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| Remapping of Greenland ice sheet surface mass balance anomalies for large ensemble sea-level change projections [期刊论文]
Cryosphere, 2020-01-01, 14 (6
Goelzer H.; Noël B.P.Y.; Edwards T.L.; Fettweis X.; Gregory J.M.; Lipscomb W.H.; Van De Wal R.S.W.; Van Den Broeke M.R.
View/Download：7/0
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| The future sea-level contribution of the Greenland ice sheet: A multi-model ensemble study of ISMIP6 [期刊论文]
Cryosphere, 2020-01-01, 14 (9
Goelzer H.; Nowicki S.; Payne A.; Larour E.; Seroussi H.; Lipscomb W.H.; Gregory J.; Abe-Ouchi A.; Shepherd A.; Simon E.; Agosta C.; Alexander P.; Aschwanden A.; Barthel A.; Calov R.; Chambers C.; Choi Y.; Cuzzone J.; Dumas C.; Edwards T.; Felikson D.; Fettweis X.; Golledge N.R.; Greve R.; Humbert A.; Huybrechts P.; Le Clec'H S.; Lee V.; Leguy G.; Little C.; Lowry D.; Morlighem M.; Nias I.; Quiquet A.; Rückamp M.; Schlegel N.-J.; Slater D.A.; Smith R.; Straneo F.; Tarasov L.; Van De Wal R.; Van Den Broeke M.
View/Download：18/0
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| Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India [期刊论文]
Natural Hazards, 2020-01-01, 104 (2
Chakrabortty R.; Pal S.C.; Sahana M.; Mondal A.; Dou J.; Pham B.T.; Yunus A.P.
View/Download：0/0
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| Short-term rockburst risk prediction using ensemble learning methods [期刊论文]
Natural Hazards, 2020-01-01, 104 (2
Liang W.; Sari A.; Zhao G.; McKinnon S.D.; Wu H.
View/Download：3/0
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| Pseudo-climate modelling study on projected changes in extreme extratropical cyclones, storm waves and surges under CMIP5 multi-model ensemble: Baltic Sea perspective [期刊论文]
Natural Hazards, 2020-01-01, 102 (1
Mäll M.; Nakamura R.; Suursaar Ü.; Shibayama T.
View/Download：3/0
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