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Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
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Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

Tien Bui, Dieu ; Pradhan, Biswajeet ; Nampak, Haleh ; Bui, Quang-Thanh ; Tran, Quynh-An ; Nguyen, Quoc-Phi

Journal of hydrology (Amsterdam), 2016-09, Vol.540, p.317-330 [Periódico revisado por pares]

Elsevier B.V

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Using the Soil and Water Assessment Tool (SWAT) to model ecosystem services: A systematic review
Using the Soil and Water Assessment Tool (SWAT) to model ecosystem services: A systematic review
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Using the Soil and Water Assessment Tool (SWAT) to model ecosystem services: A systematic review

Francesconi, Wendy ; Srinivasan, Raghavan ; Pérez-Miñana, Elena ; Willcock, Simon P. ; Quintero, Marcela

Journal of hydrology (Amsterdam), 2016-04, Vol.535, p.625-636 [Periódico revisado por pares]

Elsevier B.V

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3
A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network
A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network
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A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network

Humphrey, Greer B. ; Gibbs, Matthew S. ; Dandy, Graeme C. ; Maier, Holger R.

Journal of hydrology (Amsterdam), 2016-09, Vol.540, p.623-640 [Periódico revisado por pares]

Elsevier B.V

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4
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
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Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

Tien Bui, Dieu ; Tuan, Tran Anh ; Klempe, Harald ; Pradhan, Biswajeet ; Revhaug, Inge

Landslides, 2016-04, Vol.13 (2), p.361-378 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction
A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction
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A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction

Li, Xiaohan ; Willems, Patrick

Water resources research, 2020-06, Vol.56 (6), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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6
Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy
Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy
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Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy

Gecili, Emrah ; Ziady, Assem ; Szczesniak, Rhonda D Samy, Abdallah M.

PloS one, 2021-01, Vol.16 (1), p.e0244173-e0244173 [Periódico revisado por pares]

United States: Public Library of Science

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7
Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
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Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

Hong, Haoyuan ; Pradhan, Biswajeet ; Xu, Chong ; Tien Bui, Dieu

Catena (Giessen), 2015-10, Vol.133, p.266-281 [Periódico revisado por pares]

Elsevier B.V

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8
Wind Energy: Forecasting Challenges for Its Operational Management
Wind Energy: Forecasting Challenges for Its Operational Management
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Wind Energy: Forecasting Challenges for Its Operational Management

Pinson, Pierre

Statistical science, 2013-11, Vol.28 (4), p.564-585 [Periódico revisado por pares]

Hayward: Institute of Mathematical Statistics

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9
A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques
A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques
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A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques

Chang, Fi-John ; Tsai, Meng-Jung

Journal of hydrology (Amsterdam), 2016-04, Vol.535, p.256-269 [Periódico revisado por pares]

Elsevier B.V

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10
GIS-based landslide susceptibility evaluation using fuzzy-AHP multi-criteria decision-making techniques in the Abha Watershed, Saudi Arabia
GIS-based landslide susceptibility evaluation using fuzzy-AHP multi-criteria decision-making techniques in the Abha Watershed, Saudi Arabia
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GIS-based landslide susceptibility evaluation using fuzzy-AHP multi-criteria decision-making techniques in the Abha Watershed, Saudi Arabia

Mallick, Javed ; Singh, Ram Karan ; AlAwadh, Mohammed A. ; Islam, Saiful ; Khan, Roohul Abad ; Qureshi, Mohamed Noor

Environmental earth sciences, 2018-04, Vol.77 (7), p.1-25, Article 276 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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