Mohammad Ali Ghorbani

发表

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.

Genetic Programming for Sea Level Predictions in an Island Environment

Mohammad Ali Ghorbani, Dina Makarynska, Jalal Shiri, 2010 .

Estimation of daily pan evaporation using neural networks and meta-heuristic approaches

Anurag Malik, Mohammad Ali Ghorbani, V. Jothiprakash, 2018, ISH Journal of Hydraulic Engineering.

The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State

Anurag Malik, Anil Kumar, Sungwon Kim, 2019, Hydrology Research.

Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning

Sungwon Kim, Mohammad Ali Ghorbani, Rahman Khatibi, 2020, Scientific Reports.

Estimation of hydraulic jump on corrugated bed using artificial neural networks and genetic programming

Mohammad Ali Ghorbani, D Farsadizadeh, Akram Abbaspour, 2013 .

Stream flow predictions using nature-inspired Firefly Algorithms and a Multiple Model strategy - Directions of innovation towards next generation practices

Mohammad Ali Ghorbani, Rahman Khatibi, F. Akhoni Pourhosseini, 2017, Adv. Eng. Informatics.

RAINFALL-RUNOFF MODELING USING HYBRID INTELLIGENT MODELS (TECHNICAL NOTE)

Mohammad Ali Ghorbani, A. Azani, S. Mahmoudi Vanolya, 2015 .

Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting

Mohammad Ali Ghorbani, Rahman Khatibi, Ali Danandeh Mehr, 2018, Journal of Hydrology.

GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia

Mohammad Ali Ghorbani, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2020 .

A novel approach to predict CO2 emission in the agriculture sector of Iran based on Inclusive Multiple Model

Mohammad Ali Ghorbani, Elham Shabani, Babollah Hayati, 2021 .

Prediction of groundwater quality parameter in the Tabriz plain, Iran using soft computing methods

Mohammad Ali Ghorbani, Amir Hessam Hassani, Seyed Ahmad Mirbagheri, 2019, Journal of Water Supply: Research and Technology-Aqua.

Evaluation of daily solar radiation flux using soft computing approaches based on different meteorological information: peninsula vs continent

Mohammad Ali Ghorbani, Ozgur Kisi, Mohammad Rezaie-Balf, 2018, Theoretical and Applied Climatology.

Dynamics of hourly sea level at Hillarys Boat Harbour, Western Australia: a chaos theory perspective

Mohammad Ali Ghorbani, Dina Makarynska, Rahman Khatibi, 2011 .

HYDRAULIC FLOOD ROUTING USING DYNAMIC WAVE METHOD AND COMPARISON WITH LINEAR AND NONLINEAR HYDROLOGIC MUSKINGUM ROUTING METHODS (CASE STUDY: LIGHVAN-CHAI)

Mohammad Ali Ghorbani, Amir Hossein Nazemi, A Oladghaffari, 2010 .

Comparative study of different wavelets for developing parsimonious Volterra model for rainfall-runoff simulation

Mohammad Ali Ghorbani, Zbigniew W. Kundzewicz, Mahsa H. Kashani, 2017, Water Resources.

Comparison of three artificial intelligence techniques for discharge routing

Mohammad Ali Ghorbani, Ozgur Kisi, Rahman Khatibi, 2011 .

Determination of the Most Important Parameters on Scour at Coastal Structures

Mohammad Ali Ghorbani, Abbas Yeganeh-Bakhtiary, Ali Pourzangbar, 2012 .

Soil Cation Exchange Capacity Predicted by Learning From Multiple Modelling: Forming Multiple Models Run by SVM to Learn From ANN and Its Hybrid With Firefly Algorithm

Mohammad Ali Ghorbani, Rahman Khatibi, Rasoul Jani, 2018 .

STAGE-DISCHARGE RELATIONSHIP MODELING IN RIVERS USING INTELLIGENT SYSTEMS

Mohammad Ali Ghorbani, A Soltani, E Olyaie, 2011 .

Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida

Sungwon Kim, Mohammad Ali Ghorbani, Vijay P. Singh, 2019, Applied Sciences.

Predictability of relative humidity by two artificial intelligence techniques using noisy data from two Californian gauging stations

Mohammad Ali Ghorbani, Rahman Khatibi, Mohammad Taghi Aalami, 2012, Neural Computing and Applications.

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..

Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths

Mohammad Ali Ghorbani, Amir Mosavi, Kwok-wing Chau, 2020, Engineering Applications of Computational Fluid Mechanics.

JURIDICAL INVESTIGATION OF HUMAN CLONING IN VIEW OF PRIMARY COMMAND

Mohammad Ali Ghorbani, 2015 .

What Is the Potential of Integrating Phase Space Reconstruction with SVM-FFA Data-Intelligence Model? Application of Rainfall Forecasting over Regional Scale

Mohammad Ali Ghorbani, Zaher Mundher Yaseen, Hai Tao, 2018, Water Resources Management.

Modelling Energy Dissipation Over Stepped-gabion Weirs by Artificial Intelligence

Mohammad Ali Ghorbani, Rahman Khatibi, Farzin Salmasi, 2014, Water Resources Management.

Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data

Mohammad Ali Ghorbani, Ravinesh C. Deo, Tek Narayan Maraseni, 2018 .

Rainfall-Runoff Modeling Using Hybrid Intelligent Models

Mohammad Ali Ghorbani, S. Mahmoudi Vanolya, A. Azani, 2015 .

Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms

Mohammad Ali Ghorbani, Sinan Q. Salih, Zaher Mundher Yaseen, 2020, Water Resources Management.

Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks

Mohammad Ali Ghorbani, Rahman Khatibi, Jalal Shiri, 2010, Comput. Geosci..

GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

Mohammad Ali Ghorbani, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2020, Geoscience Frontiers.

Comparison of Volterra Model and Artificial Neural Networks for Rainfall–Runoff Simulation

Mohammad Ali Ghorbani, Mahsa Hasanpour Kashani, Yagob Dinpashoh, 2014, Natural Resources Research.

A novel hybrid neural network based on phase space reconstruction technique for daily river flow prediction

Mohammad Ali Ghorbani, Abbas Ghaheri, Hadi Delafrouz, 2018, Soft Comput..

A Simple Way to Increase the Prediction Accuracy of Hydrological Processes Using an Artificial Intelligence Model

Mohammad Ali Ghorbani, Vida Davidavičienė, Saad Sh. Sammen, 2021, Sustainability.

Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River

Mohammad Ali Ghorbani, Ahmed El-Shafie, Ravinesh C. Deo, 2017, Environmental Earth Sciences.

Multiple AI model integration strategy—Application to saturated hydraulic conductivity prediction from easily available soil properties

Mohammad Ali Ghorbani, Lamine Diop, Mahmood Shahabi, 2020 .

Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops

Mohammad Ali Ghorbani, Fereydoon Sarmadian, Javad Seyedmohammadi, 2018 .

Estimating daily pan evaporation from climatic data of the State of Illinois, USA using adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)

Mohammad Ali Ghorbani, Jalal Shiri, W. Dierickx, 2011 .

Lake water level modeling using newly developed hybrid data intelligence model

Anurag Malik, Mohammad Ali Ghorbani, Sinan Q. Salih, 2020, Theoretical and Applied Climatology.

Modeling river discharge time series using support vector machine and artificial neural networks

Mohammad Ali Ghorbani, Rahman Khatibi, Arun Goel, 2016, Environmental Earth Sciences.

Study of discontinuities in hydrological data using catastrophe theory

Mohammad Ali Ghorbani, Rahman Khatibi, Bellie Sivakumar, 2010 .

Estimation of dissolved oxygen using data-driven techniques in the Tai Po River, Hong Kong

Mohammad Ali Ghorbani, Özlem Terzi, Samira Nemati, 2015, Environmental Earth Sciences.

Design and implementation of a hybrid MLP-FFA model for soil salinity prediction

Mohammad Ali Ghorbani, Nastaran Pouladi, Farzin Shahbazi, 2019, Environmental Earth Sciences.

Local Prediction in River Discharge Time Series

Mohammad Ali Ghorbani, Rasoul Daneshfaraz, Seyed Mahdi, 2012 .

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.

A study of friction factor formulation in pipes using artificial intelligence techniques and explicit equations

Mohammad Ali Ghorbani, Rahman Khatibi, Farzin Salmasi, 2012 .

Spatial modeling of soil salinity using multiple linear regression, ordinary kriging and artificial neural network methods

Mohammad Ali Ghorbani, Khalil Valizadeh Kamran, Mohammad Reza Neyshabouri, 2017 .

Forecasting soil temperature at multiple-depth with a hybrid artificial neural network model coupled-hybrid firefly optimizer algorithm

Mohammad Ali Ghorbani, Saeed Samadianfard, Babak Mohammadi, 2018, Information Processing in Agriculture.

A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods

Mohammad Ali Ghorbani, Ozgur Kisi, Mahdi Aalinezhad, 2010 .

Investigating chaos in river stage and discharge time series

Mohammad Ali Ghorbani, Ozgur Kisi, Rahman Khatibi, 2012 .

Probability distribution functions for unit hydrographs with optimization using genetic algorithm

Mohammad Ali Ghorbani, Vijay P. Singh, Bellie Sivakumar, 2017, Applied Water Science.

Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point

Mohammad Ali Ghorbani, Shahaboddin Shamshirband, Hossein Bonakdari, 2017 .

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.

Inter-Comparison of an Evolutionary Programming Model of Suspended Sediment Time-Series with Other Local Models

Mohammad Ali Ghorbani, Rahman Khatibi, Hakimeh Asadi, 2012 .

Comparison of different methods for developing a stage–discharge curve of the Kizilirmak River

Mohammad Ali Ghorbani, Ozgur Kisi, Rasoul Daneshfaraz, 2015 .

Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of northern Iran

Mohammad Ali Ghorbani, Yagob Dinpashoh, Mahsa H. Kashani, 2016 .