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The primary focus of this study revolves around the development of an intelligent optimization framework that surpasses conventional machine learning techniques, hence providing a more dynamic and efficient strategy for process improvement. The SVM model\u2019s performance, as assessed against experimental benchmarks, exhibits a notable degree of predictive accuracy and substantial concurrence with observed data. This increase in performance indicates that our methodology has the potential to make a significant contribution to the enhancement of renewable catalysts in gasification processes. The findings of this study could potentially have significant ramifications for the advancement of renewable energy production and the creation of intelligent systems in complicated industrial applications.<\/jats:p>","DOI":"10.1007\/s40747-024-01502-3","type":"journal-article","created":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T16:01:27Z","timestamp":1717689687000},"page":"6283-6303","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Intelligent optimization of steam gasification catalysts for palm oil waste using support vector machine and adaptive transition marine predator algorithm"],"prefix":"10.1007","volume":"10","author":[{"given":"Xin","family":"Guo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8785-3513","authenticated-orcid":false,"given":"Yassine","family":"Bouteraa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1024-8822","authenticated-orcid":false,"given":"Mohammad","family":"Khishe","sequence":"additional","affiliation":[]},{"given":"Cen","family":"Li","sequence":"additional","affiliation":[]},{"given":"Diego","family":"Mart\u00edn","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,6]]},"reference":[{"key":"1502_CR1","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.renene.2018.07.142","volume":"132","author":"M Shahbaz","year":"2019","unstructured":"Shahbaz M et al (2019) Artificial neural network approach for the steam gasification of palm oil waste using bottom ash and CaO. 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