Application of machine learning techniques to the modeling of solubility of sugar alcohols in ionic liquids

A Bakhtyari, A Rasoolzadeh, B Vaferi, A Khandakar - Scientific Reports, 2023 - nature.com
The current trend of chemical industries demands green processing, in particular with
employing natural substances such as sugar-derived compounds. This matter has …

Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis

F Yousefmarzi, A Haratian, J Mahdavi Kalatehno… - Scientific Reports, 2024 - nature.com
Interfacial tension (IFT) is a key physical property that affects various processes in the oil and
gas industry, such as enhanced oil recovery, multiphase flow, and emulsion stability …

Developing a robust model based on the gaussian process regression approach to predict biodiesel properties

I Pustokhina, A Seraj, H Hafsan… - … Journal of Chemical …, 2021 - Wiley Online Library
Biodiesel is assumed a renewable and environmentally friendly fuel that possesses the
potential to substitute petroleum diesel. The basic purpose of the present study is to design a …

Significant Applications of Artificial Intelligence Towards Attaining Sustainability.

A Haleem, M Javaid, IH Khan… - Journal of Industrial …, 2023 - search.ebscohost.com
Artificial Intelligence (AI) has grown and taken up challenging environmental issues. This
technology helps accomplish sustainable development goals by helping us develop more …

Insights into the estimation of surface tensions of mixtures based on designable green materials using an ensemble learning scheme

R Soleimani, AH Saeedi Dehaghani - Scientific Reports, 2023 - nature.com
Precise estimation of the physical properties of both ionic liquids (ILs) and their mixtures is
crucial for engineers to successfully design new industrial processes. Among these …

Gray‐Related Support Vector Machine Optimization Strategy and Its Implementation in Forecasting Photovoltaic Output Power

B Xiao, H Zhu, S Zhang, Z OuYang… - International Journal …, 2022 - Wiley Online Library
Reliable and accurate photovoltaic (PV) output power projection is critical for power grid
security, stability, and economic operation. However, because of the indirectness …

Idiopathic pulmonary fibrosis-specific Bayesian network integrating extracellular vesicle proteome and clinical information

M Tomoto, Y Mineharu, N Sato, Y Tamada… - Scientific Reports, 2024 - nature.com
Idiopathic pulmonary fibrosis (IPF) is a progressive disease characterized by severe lung
fibrosis and a poor prognosis. Although the biomolecules related to IPF have been …

Estimating the physical properties of nanofluids using a connectionist intelligent model known as gaussian process regression approach

TC Chen, AT Hammid, AN Akbarov… - … Journal of Chemical …, 2022 - Wiley Online Library
This work aims to develop a robust machine learning model for the prediction of the relative
viscosity of nanoparticles (NPs) including Al2O3, TiO2, SiO2, CuO, SiC, and Ag based on …

Prediction of Pyrolysis Kinetics of Biomass: New Insights from Artificial Intelligence‐Based Modeling

L Dong, RR Wang, PD Liu… - International Journal of …, 2022 - Wiley Online Library
The present work introduces a quantitative structure‐property relationship (QSPR)‐based
stochastic gradient boosting (SGB) decision tree framework for simulating and capturing of …

Comprehensive modeling in predicting biodiesel density using Gaussian process regression approach

B Wang, I Alruyemi - BioMed Research International, 2021 - Wiley Online Library
In this study, four Gaussian process regression (GPR) approaches by various kernel
functions have been proposed for the estimation of biodiesel density as the functions of …