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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
Material Type: Article
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Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time seriesMohammadi, Babak ; Linh, Nguyen Thi Thuy ; Pham, Quoc Bao ; Ahmed, Ali Najah ; Vojteková, Jana ; Guan, Yiqing ; Abba, S.I. ; El-Shafie, AhmedHydrological sciences journal, 2020-07, Vol.65 (10), p.1738-1751 [Peer Reviewed Journal]Abingdon: Taylor & FrancisFull text available |
| 2 |
Material Type: Article
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New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mappingCostache, Romulus ; Țîncu, Roxana ; Elkhrachy, Ismail ; Pham, Quoc Bao ; Popa, Mihnea Cristian ; Diaconu, Daniel Constantin ; Avand, Mohammadtaghi ; Costache, Iulia ; Arabameri, Alireza ; Bui, Dieu TienHydrological sciences journal, 2020-12, Vol.65 (16), p.2816-2837 [Peer Reviewed Journal]Abingdon: Taylor & FrancisFull text available |
| 3 |
Material Type: Article
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Improving groundwater potential mapping using metaheuristic approachesRazavi-Termeh, Seyed Vahid ; Khosravi, Khabat ; Sadeghi-Niaraki, Abolghasem ; Choi, Soo-Mi ; Singh, Vijay P.Hydrological sciences journal, 2020-12, Vol.65 (16), p.2729-2749 [Peer Reviewed Journal]Abingdon: Taylor & FrancisFull text available |
| 4 |
Material Type: Article
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Daily scale river flow simulation: hybridized fuzzy logic model with metaheuristic algorithmsDodangeh, Esmaeel ; Ewees, Ahmed A. ; Shahid, Shamsuddin ; Yaseen, Zaher MundherHydrological sciences journal, 2021-11, Vol.66 (15), p.2155-2169 [Peer Reviewed Journal]Abingdon: Taylor & FrancisFull text available |
| 5 |
Material Type: Article
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Improving accuracy of neuro fuzzy and support vector regression for drought modelling using grey wolf optimizationMirboluki, Amin ; Mehraein, Mojtaba ; Kisi, OzgurHydrological sciences journal, 2022-07, Vol.67 (10), p.1582-1597 [Peer Reviewed Journal]Abingdon: Taylor & FrancisFull text available |
| 6 |
Material Type: Article
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ANFIS-based flood detection and vulnerability assessment frameworkKaur, Mandeep ; Kaur, Pankaj Deep ; Sood, Sandeep K.Hydrological sciences journal, 2022-11, Vol.67 (15), p.2310-2326 [Peer Reviewed Journal]Abingdon: Taylor & FrancisFull text available |
| 7 |
Material Type: Article
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Assessing the effective spatial characteristics of input features through physics-informed machine learning models in inundation forecasting during typhoonsJhong, Bing-Chen ; Lin, Chung-Yi ; Jhong, You-Da ; Chang, Hsiang-Kuan ; Chu, Jung-Lien ; Fang, Hsi-TingHydrological sciences journal, 2022-07, Vol.67 (10), p.1527-1545 [Peer Reviewed Journal]Abingdon: Taylor & FrancisFull text available |
| 8 |
Material Type: Article
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Application of soft-computing techniques in forecasting sediment load and concentrationGhanbarynamin, Sina ; Zaremehrjardy, Majid ; Ahmadi, MehdiHydrological sciences journal, 2020-10, Vol.65 (13), p.2309-2321 [Peer Reviewed Journal]Abingdon: Taylor & FrancisFull text available |
| 9 |
Material Type: Article
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Suspended sediment estimation using neuro-fuzzy and neural network approachesKISI, OzgurHydrological sciences journal, 2005-08, Vol.50 (4), p.683-696 [Peer Reviewed Journal]Wallingford: IAHS PressFull text available |
| 10 |
Material Type: Article
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Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in riversMirbagheri, Seyed Ahmad ; Nourani, Vahid ; Rajaee, Taher ; Alikhani, AmirHydrological sciences journal, 2010-01, Vol.55 (7), p.1175-1189 [Peer Reviewed Journal]Wallingford: Taylor & FrancisFull text available |
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