|
Items/Page: Sort: |
| Improved machine-learning-based open-water-sea-ice-cloud discrimination over wintertime Antarctic sea ice using MODIS thermal-infrared imagery [期刊论文]
Cryosphere, 2021-01-01, 15 (3
Paul S.; Huntemann M.
 View/Download：18/0
|
| A deep learning model for predicting climate-induced disasters [期刊论文]
Natural Hazards, 2021-01-01, 107 (1
Haggag M.; Siam A.S.; El-Dakhakhni W.; Coulibaly P.; Hassini E.
View/Download：0/0
|
| Performance evaluation of ensemble learning techniques for landslide susceptibility mapping at the Jinping county, Southwest China [期刊论文]
Natural Hazards, 2021-01-01, 105 (2
Hu X.; Mei H.; Zhang H.; Li Y.; Li M.
View/Download：8/0
|
| Back-analysis for initial ground stress field at a diamond mine using machine learning approaches [期刊论文]
Natural Hazards, 2021-01-01, 105 (1
Pu Y.; Apel D.B.; Prusek S.; Walentek A.; Cichy T.
View/Download：0/0
|
| Bayesian network reasoning and machine learning with multiple data features: air pollution risk monitoring and early warning [期刊论文]
Natural Hazards, 2021-01-01, 107 (3
Xie X.; Zuo J.; Xie B.; Dooling T.A.; Mohanarajah S.
View/Download：7/0
|
| Predicting tsunami-like solitary wave run-up over fringing reefs using the multi-layer perceptron neural network [期刊论文]
Natural Hazards, 2021-01-01, 107 (1
Yao Y.; Yang X.; Lai S.H.; Chin R.J.
View/Download：7/0
|
| Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis [期刊论文]
Global Change Biology, 2020-01-01, 26 (3
Kim Y.; Johnson M.S.; Knox S.H.; Black T.A.; Dalmagro H.J.; Kang M.; Kim J.; Baldocchi D.
View/Download：30/0
|
| 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：8/0
|
| A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration [期刊论文]
Atmospheric Environment, 2020-01-01, 222
Berrocal V.J.; Guan Y.; Muyskens A.; Wang H.; Reich B.J.; Mulholland J.A.; Chang H.H.
View/Download：12/0
|
| Excitation emission matrix fluorescence spectroscopy for combustion generated particulate matter source identification [期刊论文]
Atmospheric Environment, 2020-01-01, 220
Rutherford J.W.; Dawson-Elli N.; Manicone A.M.; Korshin G.V.; Novosselov I.V.; Seto E.; Posner J.D.
View/Download：13/0
|