Prediction of H <sub>2</sub> S adsorption capacity of biochar using rigorous machine learning frameworks
Kassem Al AttabiDepartment of Computer Techniques Engineering, College of Technical Engineering, The Islamic UniversityFarag M. A. AltalbawyDepartment of Chemistry, University College of Duba, University of TabukAnupam YadavDepartment of Computer Engineering and Application, GLA University MathuraH S ShreenidhiDepartment of Computer Science and Engineering, School of Engineering and Technology, JAIN (Deemed to be University)Abhinav KumarCollege of Technical Engineering, Department of Computer Engineering Techniques, AL-Turath University, Baghdad, IraqVatsal JainCentre for Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara UniversityShirin ShomurotovaDepartment of Chemistry Teaching Methods, National Pedagogical University of Uzbekistan, Tashkent, UzbekistanTabib ShahzadaFaculty of Engineering, Khurasan University
ABI
Abstract
S adsorption capacity, facilitating rapid screening and optimization of biochar-based gas purification systems.
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