hybrid models

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1
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania.
Costache, Romulus;Tien Bui, Dieu;
2019 The Science of the total environment DOI: S0048-9697(19)33311-... 321 views
2
Ensemble averaging based assessment of spatiotemporal variations in ambient PM concentrations over Delhi, India, during 2010-2016.
Mandal, Siddhartha;Madhipatla, Kishore K;Guttikunda, Sarath;Kloog, Itai;Prabhakaran, Dorairaj;Schwar...
2020 atmospheric environment (oxford, england : 1994) DOI: 117309 217 views
3
Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System
Majid Dehghani;Hossein Riahi-Madvar;Farhad Hooshyaripor;Amir Mosavi;Shahaboddin Shamshirband;Edmunda...
2019 energies DOI: 10.3390/en12020289 278 views
4
Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
Vu Viet Nguyen;Binh Thai Pham;Ba Thao Vu;Indra Prakash;Sudan Jha;Himan Shahabi;Ataollah Shirzadi;...
2019 forests DOI: 10.3390/f10020157 165 views

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The Science of the total environment
ISSN: 1879-1026 1,638 views
atmospheric environment (oxford, england : 1994)
ISSN: 1352-2310 258 views

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artificial intelligence Machine learning Romania bivariate statistics flood susceptibility particulate matter pollution exposure satellite observations Deep learning drought prediction hydropower generation precipitation forecasting grey wolf optimization (gwo) hydrological modelling energy system hydropower prediction dam inflow