M. Algarni

发表

Computational prediction of drug solubility in supercritical carbon dioxide: Thermodynamic and artificial intelligence modeling

C. Su, Hoang Chinh Nguyen, Fawzia Alamray, 2022, Journal of Molecular Liquids.

Computational simulation using machine learning models in prediction of CO2 absorption in environmental applications

M. Alashwal, S. Ghazali, M. Kamal, 2022, Journal of Molecular Liquids.

Synthesis of Ag-coated on a wrinkled SiO2@TiO2 architectural photocatalyst: New method of wrinkled shell for use of semiconductors in the visible light range and penicillin antibiotic degradation

D. Bokov, M. Zare, C. Su, 2022, Alexandria Engineering Journal.

Modeling and optimization of vegetable oil biodiesel production with heterogeneous nano catalytic process: Multi-layer perceptron, decision regression tree, and K-Nearest Neighbor methods

Anas M. Abdelrahman, Afrasyab Khan, M. Algarni, 2022, Environmental Technology & Innovation.

State-of-the-Art Review on the Application of Membrane Bioreactors for Molecular Micro-Contaminant Removal from Aquatic Environment

Ali Taghvaie Nakhjiri, Subbotina Tatyana Yu, Fu-Ming Wang, 2022, Membranes.

Theoretical investigation on optimization of biodiesel production using waste cooking oil: Machine learning modeling and experimental validation

Sattam Fahad Almojil, M. Kamal, B. Felemban, 2022, Energy Reports.

Neural-based modeling adsorption capacity of metal organic framework materials with application in wastewater treatment

M. Alashwal, S. Ghazali, C. Su, 2022, Scientific Reports.

Green processing based on supercritical carbon dioxide for preparation of nanomedicine: Model development using machine learning and experimental validation

S. Alshahrani, B. Felemban, M. Algarni, 2022, Case Studies in Thermal Engineering.

Optimization and comparison of machine learning methods in estimation of carbon dioxide loading in chemical solvents for environmental applications

M. Alashwal, Walid Kamal Abdelbasset, S. Ghazali, 2022, Journal of Molecular Liquids.

Prediction of molecular diffusivity of organic molecules based on group contribution with Tree Optimization and SVM models

S. Chupradit, Wanich Suksatan, M. Alashwal, 2022, Journal of Molecular Liquids.

Spin-valve Josephson junctions with perpendicular magnetic anisotropy for cryogenic memory

E. Linfield, Mannan Ali, B. Hickey, 2019, Applied Physics Letters.

Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications: Absorption in amino acid

M. L. Rahman, Wanich Suksatan, T. Taban, 2022, Environmental Technology & Innovation.

The Emerging of Stress Triaxiality and Lode Angle in Both Solid and Damage Mechanics: A Review

S. Ghazali, M. Algarni, M. Zwawi, 2021, Mechanics of Solids.

Vibration analysis of size dependent micro FML cylindrical shell reinforced by CNTs based on modified couple stress theory

Abdullah Mohamed, M. Algarni, Maria Jade Catalan Opulencia, 2022, Arabian Journal of Chemistry.

EXPERIMENTAL INVESTIGATION OF A SUBMERGED AIR–WATER BUBBLY FLOW JET IN A WATER TANK AS A MODEL OF STEEL CASTING

K. Sanaullah, B. Felemban, M. Algarni, 2020 .

Optimization of Heterogeneous Catalyst-assisted Fatty Acid Methyl Esters Biodiesel Production from Soybean Oil with Different Machine Learning Methods

S. Ghazali, B. Felemban, Hoang Chinh Nguyen, 2022, Arabian Journal of Chemistry.

Development of multiple machine-learning computational techniques for optimization of heterogenous catalytic biodiesel production from waste vegetable oil

Anas M. Abdelrahman, S. Elkholi, M. Alashwal, 2022, Arabian Journal of Chemistry.

Development of a machine learning computational technique for estimation of molecular diffusivity of nonelectrolyte organic molecules in aqueous media

M. Alashwal, C. Su, B. Felemban, 2022, Journal of Molecular Liquids.

The Effects of Solvent on Superhydrophobic Polyurethane Coating Incorporated with Hydrophilic SiO2 Nanoparticles as Antifouling Paint

Leo Choe Peng, R. Kanthasamy, M. Algarni, 2023, Polymers.