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 …

Soft computing approaches for comparative prediction of the mechanical properties of jute fiber reinforced concrete

N Sultana, SMZ Hossain, MS Alam, MS Islam… - … in Engineering Software, 2020 - Elsevier
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 …

[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 …

Application of machine learning regressors in estimating the thermoelectric performance of Bi2Te3-based materials

YS Wudil, A Imam, MA Gondal, UF Ahmad… - Sensors and Actuators A …, 2023 - Elsevier
Bi 2 Te 3-based semiconductors are versatile thermoelectric energy harvesters, widely
employed for their narrow bandgap and low thermal conductivity. The conventional …

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 …

CO2 adsorption on polymeric amine-functionalized adsorbents by computational intelligence method

AA Adewunmi, OI Mayowa, AK Hamzat… - Journal of the Taiwan …, 2024 - Elsevier
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 …

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 …

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 …