Estimating the Physical Properties of Nanofluids Using a Connectionist Intelligent Model Known as Gaussian Process Regression Approach

An advanced computational intelligent framework to predict shear sonic velocity with application to mechanical rock classification

(2022) Majid Safaei-Farouji et al.   Scientific Reports

An insight into the estimation of drilling fluid density at HPHT condition using PSO-, ICA-, and GA-LSSVM strategies

(2021) S. M. Alizadeh et al.   Scientific Reports

Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence

(2021) Roy Setiawan et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Developing a Robust Model Based on the Gaussian Process Regression Approach to Predict Biodiesel Properties

(2021) Inna Pustokhina et al.   International Journal of Chemical Engineering

An experimental investigation into the effect of particle mixture ratio on specific heat capacity and dynamic viscosity of Al2O3-ZnO hybrid nanofluids

(2020) Ifeoluwa Wole-Osho et al.   POWDER TECHNOLOGY

Thermodynamic evaluation and optimization of a flat plate collector operating with alumina and iron mono and hybrid nanofluids

(2020) Eric C. Okonkwo et al.   Sustainable Energy Technologies and Assessments

Effect of hybrid nanofluid on heat transfer performance of parabolic trough solar collector receiver

(2020) Recep Ekiciler et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

Gaussian process regression (GPR) based non-invasive continuous blood pressure prediction method from cuff oscillometric signals

(2020) Ahmed S. Alghamdi et al.   APPLIED ACOUSTICS

Development of models predicting biodegradation rate rating with multiple linear regression and support vector machine algorithms

(2020) Weihao Tang et al.   CHEMOSPHERE

Modeling the acentric factor of binary and ternary mixtures of ionic liquids using advanced intelligent systems

(2020) Teslim Olayiwola et al.   FLUID PHASE EQUILIBRIA

Improved Thermophysical Properties and Energy Efficiency of Aqueous Ionic Liquid/MXene Nanofluid in a Hybrid PV/T Solar System

(2020) Likhan Das et al.   Nanomaterials

Application of ANN to the water-lubricated flow of non-conventional crude

(2020) I. Dubdub et al.   CHEMICAL ENGINEERING COMMUNICATIONS

Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis

(2020) Tong Zhou et al.   COMPUTERS & STRUCTURES

Prediction of thermo-physical properties of 1-Butyl-3-methylimidazolium hexafluorophosphate for CO2 capture using machine learning models

(2020) Shaukat Ali Mazari et al.   JOURNAL OF MOLECULAR LIQUIDS

Bayesian geophysical inversion with trans-dimensional Gaussian process machine learning

(2019) Anandaroop Ray et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

A novel nonlinear regression model of SVR as a substitute for ANN to predict conductivity of MWCNT-CuO/water hybrid nanofluid based on empirical data

(2019) Arash Karimipour et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

(2019) Mahdi Sharifzadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression

(2019) Guolong Zhang et al.   SENSORS

Experimental Investigation on Thermal Performance of a PV/T-PCM (Photovoltaic/Thermal) System Cooling with a PCM and Nanofluid

(2019) M. M. Sarafraz et al.   Energies

Process Design of Laser Powder Bed Fusion of Stainless Steel Using a Gaussian Process-Based Machine Learning Model

(2019) Lingbin Meng et al.   JOM

Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid

(2019) Mohammad Hossein Ahmadi et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine

(2019) Hossein Bonakdari et al.   WATER RESOURCES MANAGEMENT

A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids

(2019) Mahdi Ramezanizadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al2O3-MWCNT/Oil Hybrid Nanofluid

(2019) Ibrahim M. Alarifi et al.   Materials

Nanofluid based photovoltaic thermal systems integrated with phase change materials: Numerical simulation and thermodynamic analysis

(2019) Ali Salari et al.   ENERGY CONVERSION AND MANAGEMENT

Estimate the shear rate & apparent viscosity of multi-phased non-Newtonian hybrid nanofluids via new developed Support Vector Machine method coupled with sensitivity analysis

(2019) Zhe Tian et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Effects on thermophysical properties of carbon based nanofluids: Experimental data, modelling using regression, ANFIS and ANN

(2018) Abdullah A.A.A. Alrashed et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

A data-driven model for predicting the effect of temperature on oil-water relative permeability

(2018) Sajjad Esmaeili et al.   FUEL

Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe–CuO/Eg–Water nanofluid

(2018) Mehrdad Bahrami et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Developing GPR model for forecasting the rock fragmentation in surface mines

(2017) Wei Gao et al.   ENGINEERING WITH COMPUTERS

Machine learning of linear differential equations using Gaussian processes

(2017) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Predicting Physical Properties of Nanofluids by Computational Modeling

(2017) Natalia Sizochenko et al.   Journal of Physical Chemistry C

Prediction of rheological behavior of MWCNTs–SiO2/EG–water non-Newtonian hybrid nanofluid by designing new correlations and optimal artificial neural networks

(2017) Hamed Eshgarf et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

A state of the art review on viscosity of nanofluids

(2017) S.M. Sohel Murshed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on preparation methods, stability and applications of hybrid nanofluids

(2017) Nor Azwadi Che Sidik et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

New Approach to Estimate Velocity at Limit of Deposition in Storm Sewers Using Vector Machine Coupled with Firefly Algorithm

(2017) Isa Ebtehaj et al.   Journal of Pipeline Systems Engineering and Practice

Towards better modelling of drug-loading in solid lipid nanoparticles: Molecular dynamics, docking experiments and Gaussian Processes machine learning

(2016) Rania M. Hathout et al.   EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS

Dynamic viscosity of MWCNT/ZnO–engine oil hybrid nanofluid: An experimental investigation and new correlation in different temperatures and solid concentrations

(2016) Meisam Asadi et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Viscosity of nanofluids: A review of recent experimental studies

(2016) Kazem Bashirnezhad et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin temperature in lower limb prostheses

(2016) Neha Mathur et al.   MEDICAL ENGINEERING & PHYSICS

Design of a support vector machine with different kernel functions to predict scour depth around bridge piers

(2016) Hassan Sharafi et al.   NATURAL HAZARDS

A review on preparation, characterization, properties and applications of nanofluids

(2016) Dhinesh Kumar Devendiran et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

An expert system with radial basis function neural network based on decision trees for predicting sediment transport in sewers

(2016) I. Ebtehaj et al.   WATER SCIENCE AND TECHNOLOGY

A support vector regression-firefly algorithm-based model for limiting velocity prediction in sewer pipes

(2016) I. Ebtehaj et al.   WATER SCIENCE AND TECHNOLOGY

Implementation of a Gaussian process-based machine learning grasp predictor

(2015) Alex K. Goins et al.   AUTONOMOUS ROBOTS

QSPR study on melting point of carbocyclic nitroaromatic compounds by multiple linear regression and artificial neural network

(2015) Daxiang Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

The Viscosity of Nanofluids: A Review of the Theoretical, Empirical, and Numerical Models

(2015) Josua P. Meyer et al.   HEAT TRANSFER ENGINEERING

Gaussian process classification of Alzheimer's disease and mild cognitive impairment from resting-state fMRI

(2015) Edward Challis et al.   NEUROIMAGE

Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances

(2013) Fernando Perez-Cruz et al.   IEEE SIGNAL PROCESSING MAGAZINE

Machine Learning Vasicek Model Calibration with Gaussian Processes

(2012) J. Beleza Sousa et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Predicting human plasma protein binding of drugs using plasma protein interaction QSAR analysis (PPI-QSAR)

(2011) Haiyan Li et al.   BIOPHARMACEUTICS & DRUG DISPOSITION

Latest developments on the viscosity of nanofluids

(2011) I.M. Mahbubul et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Measurement of temperature-dependent thermal conductivity and viscosity of TiO2-water nanofluids

(2009) Weerapun Duangthongsuk et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Experimental investigations and theoretical determination of thermal conductivity and viscosity of Al2O3/water nanofluid

(2009) M. Chandrasekar et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Nanofluid Two-Phase Flow and Thermal Physics: A New Research Frontier of Nanotechnology and Its Challenges

(2008) Lixin Cheng et al.   JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY