A Novel Multiple-Kernel Support Vector Regression Algorithm for Estimation of Water Quality Parameters

A novel Hybrid Wavelet-Locally Weighted Linear Regression (W-LWLR) Model for Electrical Conductivity (EC) Prediction in Surface Water

(2020) Iman Ahmadianfar et al.   JOURNAL OF CONTAMINANT HYDROLOGY

A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications

(2020) Rashid Pourrajab et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach

(2020) Mehdi Jamei et al.   JOURNAL OF HYDROLOGY

A rigorous model for prediction of viscosity of oil-based hybrid nanofluids

(2020) Mehdi Jamei et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

On the assessment of specific heat capacity of nanofluids for solar energy applications: Application of Gaussian process regression (GPR) approach

(2020) Mehdi Jamei et al.   Journal of Energy Storage

Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods

(2019) Mohammad Najafzadeh et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Multiple Kernel Learning for Remote Sensing Image Classification

(2018) Saeid Niazmardi et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Modelling daily dissolved oxygen concentration using least square support vector machine, multivariate adaptive regression splines and M5 model tree

(2018) Salim Heddam et al.   JOURNAL OF HYDROLOGY

Prediction of water quality parameters using evolutionary computing-based formulations

(2018) M. Najafzadeh et al.   International Journal of Environmental Science and Technology

Modeling Water-Quality Parameters Using Genetic Algorithm–Least Squares Support Vector Regression and Genetic Programming

(2017) Omid Bozorg-Haddad et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

Modeling Water-Quality Parameters Using Genetic Algorithm–Least Squares Support Vector Regression and Genetic Programming

(2017) Omid Bozorg-Haddad et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

A comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen

(2016) Xue Li et al.   HYDROLOGY RESEARCH

A comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen

(2016) Xue Li et al.   Hydrology Research

Multiple Kernel Learning for Visual Object Recognition: A Review

(2014)   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models

(2013) S. Emamgholizadeh et al.   International Journal of Environmental Science and Technology

Prediction of water quality from simple field parameters

(2012) A. K. Verma et al.   Environmental Earth Sciences

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

(2011) D. Tuia et al.   IEEE Geoscience and Remote Sensing Letters

Modeling of Dissolved Oxygen Concentration Using Different Neural Network Techniques in Foundation Creek, El Paso County, Colorado

(2011) Murat Ay et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

A survey of the state of the art in learning the kernels

(2011) M. Ehsan Abbasnejad et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Developing operating rules for reservoirs considering the water quality issues: Application of ANFIS-based surrogate models

(2010) Foad Soltani et al.   EXPERT SYSTEMS WITH APPLICATIONS

A multiple-kernel support vector regression approach for stock market price forecasting

(2010) Chi-Yuan Yeh et al.   EXPERT SYSTEMS WITH APPLICATIONS

Artificial neural network modeling of the river water quality—A case study

(2009) Kunwar P. Singh et al.   ECOLOGICAL MODELLING

A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction

(2009) Shibin Qiu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics