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 …
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 …
[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 …
Prediction of band gap energy of doped graphitic carbon nitride using genetic algorithm-based support vector regression and extreme learning machine
TO Owolabi, MA Abd Rahman - Symmetry, 2021 - mdpi.com
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 …
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 …
Hybrid support vector regression and crow search algorithm for modeling and multiobjective optimization of microalgae-based wastewater treatment
SMZ Hossain, N Sultana, ME Mohammed… - Journal of …, 2022 - Elsevier
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 …
Modeling the maximum magnetic entropy change of doped manganite using a grid search-based extreme learning machine and hybrid gravitational search-based …
SMI Shamsah, TO Owolabi - Crystals, 2020 - mdpi.com
The thermal response of a magnetic solid to an applied magnetic field constitutes
magnetocaloric effect. The maximum magnetic entropy change (MMEC) is one of the …
magnetocaloric effect. The maximum magnetic entropy change (MMEC) is one of the …
[HTML][HTML] Modeling the magnetocaloric effect of manganite using hybrid genetic and support vector regression algorithms
TO Owolabi - Physics Letters A, 2019 - Elsevier
Large magnetocaloric effect demonstrated by manganite-based compounds has advanced
the possibility of practical implementation of magnetic refrigeration technology. In order to …
the possibility of practical implementation of magnetic refrigeration technology. In order to …