Jaya algorithm hybridized with extreme gradient boosting to predict the corrosion-induced mass loss of agro-waste based monolithic and Ni-reinforced porous alumina

• Main Authors: Dele-Afolabi, T.T., Jung, D.W., Ahmadipour, Masoud, Azmah Hanim, M.A., Adeleke, A.O., Kandasamy, M., Gunnasegaran, Prem
• Format: Article
• Language: English
• Published: Elsevier Editora Ltda 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/114479/1/114479.pdf; http://psasir.upm.edu.my/id/eprint/114479/; https://linkinghub.elsevier.com/retrieve/pii/S2238785424024918

Chemical attack is one of the most significant issues affecting porous ceramic systems employed as membranes for separation technologies, which necessitate frequent system reliability testing. In this work, the non-linear predictive power of a hybridized machine learning prediction model, specifical...