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Development of predictive models for density of hybrid nanofluids using different machine learning techniques

Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering, 2023-10, Vol.237 (5), p.1722-1739

2023

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Highly efficient UV–visible absorption of TiO2/Y2O3 nanocomposite prepared by nanosecond pulsed laser ablation technique

Arabian journal of chemistry, 2022-08, Vol.15 (8), p.104004, Article 104004

2022

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Zinc Oxide‐Based Acetone Gas Sensors for Breath Analysis: A Review

Chemistry, an Asian journal, 2021-06, Vol.16 (12), p.1519-1538

2021

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Modeling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression

Journal of applied physics, 2020-08, Vol.128 (8)

2020

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A machine learning-based model to estimate the density of nanofluids of nitrides in ethylene glycol

Journal of applied physics, 2020-05, Vol.127 (20)

2020

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Anticancer Activity of TiO2/Au Nanocomposite Prepared by Laser Ablation Technique on Breast and Cervical Cancers

Optics and laser technology, 2022-05, Vol.149, p.107828, Article 107828

2022

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Predicting the density of carbon-based nanomaterials in diesel oil through computational intelligence methods

Journal of thermal analysis and calorimetry, 2022-08, Vol.147 (16), p.8699-8707

2022

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Modelling the viscosity of carbon-based nanomaterials dispersed in diesel oil: a machine learning approach

Journal of thermal analysis and calorimetry, 2021-08, Vol.145 (4), p.1769-1777

2021

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WO3/BP/g-C3N4 –based cauliflower nanocomposite fabricated by pulsed laser ablation for overall water splitting

Optics and laser technology, 2022-07, Vol.151, p.108014, Article 108014

2022

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Laser-assisted fabrication of silver quantum dots/polyaspartate polymer composite for antimicrobial applications

Optics and laser technology, 2022-08, Vol.152, p.108122, Article 108122

2022

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Fabrication of Z-scheme ZnO/g-C3N4/ZnS nanocomposites using high power laser for methylene blue degradation

Materials research express, 2023-12, Vol.10 (12), p.125007

2023

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Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression

Heliyon, 2019-06, Vol.5 (6), p.e01882-e01882, Article e01882

2019

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Regulating the Electron Depletion Layer of Au/V2O5/Ag Thin Film Sensor for Breath Acetone as Potential Volatile Biomarker

Nanomaterials (Basel, Switzerland), 2023-04, Vol.13 (8), p.1372

2023

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Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm

Solar energy, 2019-05, Vol.183, p.74-82

2019

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Modeling and prediction of lattice parameters of binary spinel compounds (AMX) using support vector regression with Bayesian optimization

New journal of chemistry, 2021-08, Vol.45 (34), p.15255-15266

2021

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Lattice constant prediction of A2XY6 cubic crystals (A = K, Cs, Rb, TI; X = tetravalent cation; Y = F, Cl, Br, I) using computational intelligence approach

Journal of applied physics, 2020-01, Vol.127 (1)

2020

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Engineering the depletion layer of Au-modified ZnO/Ag core-shell films for high-performance acetone gas sensing

Sensors and actuators. B, Chemical, 2021-07, Vol.338, p.129851, Article 129851

2021

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Application of support vector regression and artificial neural network for prediction of specific heat capacity of aqueous nanofluids of copper oxide

Solar energy, 2020-02, Vol.197, p.485-490

2020

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Development of machine learning models for the prediction of binary diffusion coefficients of gases

Engineering applications of artificial intelligence, 2023-08, Vol.123, p.106279, Article 106279

2023

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GBR-GSO based machine learning predictive model for estimating density of Al2N3, Si3N4, and TiN nanoparticles suspended in ethylene glycol nanofluids

European physical journal plus, 2022-05, Vol.137 (5), p.587, Article 587

2022

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Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm – support vector regression model

Computer methods and programs in biomedicine, 2018-09, Vol.163, p.135-142

2018

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Fabrication of Z-scheme TiO2/BP/g-C3N4 nanocomposite via pulsed laser ablation in liquid for photocatalytic overall water splitting

Optical materials, 2022-06, Vol.128, p.112428, Article 112428

2022

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An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression

Journal of energy storage, 2020-06, Vol.29, p.101313, Article 101313

2020

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Spectroscopic investigations of Er2O3 doped silica borotellurite glasses

Optical materials, 2021-04, Vol.114, p.110987, Article 110987

2021

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Investigating the antibacterial activity of nanostructured tungsten oxide prepared by pulsed laser ablation at different hydrogen peroxide concentrations

Optical materials, 2022-11, Vol.133, p.112886, Article 112886

2022

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Development of predictive models for density of hybrid nanofluids using different machine learning techniques

Highly efficient UV–visible absorption of TiO2/Y2O3 nanocomposite prepared by nanosecond pulsed laser ablation technique

Zinc Oxide‐Based Acetone Gas Sensors for Breath Analysis: A Review

Modeling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression

A machine learning-based model to estimate the density of nanofluids of nitrides in ethylene glycol

Anticancer Activity of TiO2/Au Nanocomposite Prepared by Laser Ablation Technique on Breast and Cervical Cancers

Predicting the density of carbon-based nanomaterials in diesel oil through computational intelligence methods

Modelling the viscosity of carbon-based nanomaterials dispersed in diesel oil: a machine learning approach

WO3/BP/g-C3N4 –based cauliflower nanocomposite fabricated by pulsed laser ablation for overall water splitting

Laser-assisted fabrication of silver quantum dots/polyaspartate polymer composite for antimicrobial applications

Fabrication of Z-scheme ZnO/g-C3N4/ZnS nanocomposites using high power laser for methylene blue degradation

Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression

Regulating the Electron Depletion Layer of Au/V2O5/Ag Thin Film Sensor for Breath Acetone as Potential Volatile Biomarker

Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm

Modeling and prediction of lattice parameters of binary spinel compounds (AMX) using support vector regression with Bayesian optimization

Lattice constant prediction of A2XY6 cubic crystals (A = K, Cs, Rb, TI; X = tetravalent cation; Y = F, Cl, Br, I) using computational intelligence approach

Engineering the depletion layer of Au-modified ZnO/Ag core-shell films for high-performance acetone gas sensing

Application of support vector regression and artificial neural network for prediction of specific heat capacity of aqueous nanofluids of copper oxide

Development of machine learning models for the prediction of binary diffusion coefficients of gases

GBR-GSO based machine learning predictive model for estimating density of Al2N3, Si3N4, and TiN nanoparticles suspended in ethylene glycol nanofluids

Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm – support vector regression model

Fabrication of Z-scheme TiO2/BP/g-C3N4 nanocomposite via pulsed laser ablation in liquid for photocatalytic overall water splitting

An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression

Spectroscopic investigations of Er2O3 doped silica borotellurite glasses

Investigating the antibacterial activity of nanostructured tungsten oxide prepared by pulsed laser ablation at different hydrogen peroxide concentrations

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