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Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review
HA Al-Jamimi, S Al-Azani, TA Saleh - Process Safety and Environmental …, 2018 - Elsevier
Desulfurization, known as the removal of sulfur from oil, is extremely important in the
petroleum processing industry and in the environmental protection. Several oil-upgrading …
petroleum processing industry and in the environmental protection. Several oil-upgrading …
Soft computing approaches for comparative prediction of the mechanical properties of jute fiber reinforced concrete
The fibers in concrete is necessary to enhance its engineering properties. Different types of
fibers are used as a reinforcing material. Due to low cost, availability, and environmentally …
fibers are used as a reinforcing material. Due to low cost, availability, and environmentally …
[HTML][HTML] Ensemble learning-based investigation of thermal conductivity of Bi2Te2. 7Se0. 3-based thermoelectric clean energy materials
YS Wudil - Results in Engineering, 2023 - Elsevier
Bi 2 Te 3-based materials are remarkable semiconducting compounds widely employed for
clean energy harvesting via thermoelectric effects. Their energy conversion efficiency is …
clean energy harvesting via thermoelectric effects. Their energy conversion efficiency is …
Application of machine learning regressors in estimating the thermoelectric performance of Bi2Te3-based materials
Bi 2 Te 3-based semiconductors are versatile thermoelectric energy harvesters, widely
employed for their narrow bandgap and low thermal conductivity. The conventional …
employed for their narrow bandgap and low thermal conductivity. The conventional …
Estimation of physical, mechanical and hydrological properties of permeable concrete using computational intelligence approach
Permeable concrete (PC) has gained a wide range of applications as a result of its unique
properties which result into highly connected macro-porosity and large pore sizes. However …
properties which result into highly connected macro-porosity and large pore sizes. However …
Improved email spam detection model based on support vector machines
SO Olatunji - Neural Computing and Applications, 2019 - Springer
Email has become extremely popular among people nowadays. In fact, it has been reported
to be the cheapest, popular and fastest means of communication in recent times. Despite the …
to be the cheapest, popular and fastest means of communication in recent times. Despite the …
CO2 adsorption on polymeric amine-functionalized adsorbents by computational intelligence method
Background Emission of CO 2 has been one of the important challenges as far as global
warming is concerned. The global research programs on CO 2 capture are therefore justified …
warming is concerned. The global research programs on CO 2 capture are therefore justified …
Machine learning modeling of metal surface energy
Y Zhang, X Xu - Materials Chemistry and Physics, 2021 - Elsevier
We develop the Gaussian process regression model to shed light on relationships between
metal surface energy and pertinent physical parameters. A total of 43 metals with surface …
metal surface energy and pertinent physical parameters. A total of 43 metals with surface …
[HTML][HTML] Prediction of band gap energy of doped graphitic carbon nitride using genetic algorithm-based support vector regression and extreme learning machine
Graphitic carbon nitride is a stable and distinct two dimensional carbon-based polymeric
semiconductor with remarkable potentials in organic pollutants degradation, chemical …
semiconductor with remarkable potentials in organic pollutants degradation, chemical …
Hybrid support vector regression and crow search algorithm for modeling and multiobjective optimization of microalgae-based wastewater treatment
Microalgae-based wastewater treatment (and biomass production) is an environmentally
benign and energetically efficient technique as compared to traditional practices. The …
benign and energetically efficient technique as compared to traditional practices. The …