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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.
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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:23/0
 
Adaptive Neuro Fuzzy Inference System (ANFIS) based wildfire risk assessment [期刊论文]
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2019-01-01, 31 (4) : 599-619
Kaur, Harkiran;  Sood, Sandeep K.
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An artificial intelligence approach for thermodynamic modeling of geothermal based-organic Rankine cycle equipped with solar system [期刊论文]
GEOTHERMICS, 2019-01-01, 80) : 138-154
Khosravi, A.;  Syri, S.;  Zhao, X.;  Assad, M. E. H.
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Classification of potential fire outbreaks: A fuzzy modeling approach based on thermal images [期刊论文]
EXPERT SYSTEMS WITH APPLICATIONS, 2019-01-01, 129) : 216-232
Sousa, Maria Joao;  Moutinho, Alexandra;  Almeida, Miguel
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An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index [期刊论文]
Atmospheric Research, 2018-01-01, 207
Ali M.;  Deo R.C.;  Downs N.J.;  Maraseni T.
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