V. Karimi

发表

Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey

R. Deo, Z. Yaseen, M. Ghorbani, 2018, Stochastic Environmental Research and Risk Assessment.

Design and implementation of a hybrid MLP-GSA model with multi-layer perceptron-gravitational search algorithm for monthly lake water level forecasting

Mohammad Ali Ghorbani, Ravinesh C. Deo, Vahid Karimi, 2018, Stochastic Environmental Research and Risk Assessment.

An investigation into seasonal variations of groundwater nitrate by spatial modelling strategies at two levels by kriging and co-kriging models.

B. Pradhan, R. Khatibi, V. Karimi, 2020, Journal of environmental management.

Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction

V. Singh, O. Kisi, S. G. Meshram, 2020, Water Resources Management.

Energy Dissipation in Rough Chute: Experimental Approach Versus Artificial Intelligence Modeling

M. Ghorbani, Sungwon Kim, E. Kahya, 2020 .

Temporal connections in reconstructed monthly rainfall time series in different rainfall regimes of Turkey

M. Ghorbani, E. Kahya, T. Roshni, 2022, Arabian Journal of Geosciences.

Temporal connections in reconstructed monthly rainfall time series in different rainfall regimes of Turkey

M. Ghorbani, E. Kahya, T. Roshni, 2022, Arabian Journal of Geosciences.

Sensitivity Analysis of the Effective Input Parameters upon the Ozone Concentration using Artificial Neural Networks

M. Ghorbani, L. Naghipour, V. Karimi, 2013 .

Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia

R. Deo, M. Ghorbani, Sungwon Kim, 2020, Soft Computing.

River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network

S. Shamshirband, S. G. Meshram, V. Karimi, 2018, Soft Computing.

Strategies for Learning Groundwater Potential Modelling Indices under Sparse Data with Supervised and Unsupervised Techniques

R. Khatibi, D. Tien Bui, V. Karimi, 2020, Water Resources Management.

Application of complex networks for monthly rainfall dynamics over central Vietnam

B. Sivakumar, M. Ghorbani, Q. Pham, 2021, Stochastic Environmental Research and Risk Assessment.

Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia

Sungwon Kim, Mohammad Ali Ghorbani, Ravinesh C. Deo, 2020, Soft Comput..

Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model

Anurag Malik, Anil Kumar, Sungwon Kim, 2020, Engineering Applications of Computational Fluid Mechanics.

River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network

Shahaboddin Shamshirband, Sarita Gajbhiye Meshram, Chandrashekhar Meshram, 2018, Soft Comput..

Developing a predictive tropospheric ozone model for Tabriz

Rahman Khatibi, Hadi Arvanaghi, Mohammad A. Ghorbani, 2013 .

New Approach for Sediment Yield Forecasting with a Two-Phase Feedforward Neuron Network-Particle Swarm Optimization Model Integrated with the Gravitational Search Algorithm

Mohammad Ali Ghorbani, Ravinesh C. Deo, Sarita Gajbhiye Meshram, 2019, Water Resources Management.

Learning from Multiple Models Using Artificial Intelligence to Improve Model Prediction Accuracies: Application to River Flows

Zaher Mundher Yaseen, V. Karimi, M. A. Ghorbani, 2018, Water Resources Management.

Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river

L. N. Ferreira, M. Ghorbani, E. Kahya, 2023, Stochastic Environmental Research and Risk Assessment.

A framework for ‘Inclusive Multiple Modelling’ with critical views on modelling practices – Applications to modelling water levels of Caspian Sea and Lakes Urmia and Van

Vahid Karimi, Rahman Khatibi, Mohammad A. Ghorbani, 2020 .