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| Content analyses of the international federation of red cross and red crescent societies (ifrc) based on machine learning techniques through twitter [期刊论文]
Natural Hazards, 2021-01-01, 106 (3
Dereli T.; Eligüzel N.; Çetinkaya C.
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| Comparative study of very short-term flood forecasting using physics-based numerical model and data-driven prediction model [期刊论文]
Natural Hazards, 2021-01-01, 107 (1
Hussain F.; Wu R.-S.; Wang J.-X.
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| Geometric model for toppling-prone deformation of layered reverse-dip slope [期刊论文]
Natural Hazards, 2021-01-01, 106 (3
Xie L.; Ge Y.; Zhang J.; Tan S.; Wang B.; Yan E.; Qin Y.; Wang J.; Shi C.; Yu G.
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| A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model [期刊论文]
Natural Hazards, 2021-01-01, 105 (2
Zhang Y.; Yang L.
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| Drought prediction using in situ and remote sensing products with SVM over the Xiang River Basin, China [期刊论文]
Natural Hazards, 2021-01-01, 105 (2
Zhu Q.; Luo Y.; Zhou D.; Xu Y.-P.; Wang G.; Tian Y.
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| Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India [期刊论文]
Ecological Indicators, 2020-01-01, 112
Talukdar S.; Singha P.; Shahfahad; Mahato S.; Praveen B.; Rahman A.
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| 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.
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| Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016 [期刊论文]
Atmospheric Environment, 2020-01-01, 224
Mandal S.; Madhipatla K.K.; Guttikunda S.; Kloog I.; Prabhakaran D.; Schwartz J.D.; GeoHealth Hub India Team
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| 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.
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| A novel framework for daily forecasting of ozone mass concentrations based on cycle reservoir with regular jumps neural networks [期刊论文]
Atmospheric Environment, 2020-01-01, 220
Mo Y.; Li Q.; Karimian H.; Fang S.; Tang B.; Chen G.; Sachdeva S.
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