Citations (14)
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Sonu Kumar Patidar & Hifjur Raheman. (2023) An AI-based approach to improve the fuel properties and performance of nano graphene added straight Karanja oil prepared with optimal dispersion parameters. Biofuels 14:6, pages 619-633.
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Zhongjie Zhang, Ruilin Liu, Guangmeng Zhou, Surong Dong, Zengyong Liu, Xu Xia, Gang Liu & Haojian Ding. (2022) Research on nonlinear model predictive control of regulated two-stage turbocharging system of diesel engine at high altitudes. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:4, pages 8718-8735.
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Sachin Kumar Gupta & Mayank Mittal. (2021) Predicting the methane number of gaseous fuels using an artificial neural network. Biofuels 12:10, pages 1191-1198.
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S. Sindhanai Selvan, P. Saravana Pandian, A. Subathira & S. Saravanan. (2021) Artificial neural network modeling-coupled genetic algorithm optimization of supercritical methanol transesterification of Aegle marmelos oil to biodiesel. Biofuels 12:7, pages 797-805.
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Okechukwu Dominic Onukwuli, Jonah Chukwudi Umeuzuegbu & Chidozie Chukwuemeka Nwobi-Okoye. (2021) Computational Modeling and Multi-objective Optimization of Engine Performance with Waste Soya Oil-Based Biodiesel Using Genetic Algorithm and Utility Function. Process Integration and Optimization for Sustainability 5:4, pages 793-813.
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Mortaza Aghbashlo, Wanxi Peng, Meisam Tabatabaei, Soteris A. Kalogirou, Salman Soltanian, Homa Hosseinzadeh-Bandbafha, Omid Mahian & Su Shiung Lam. (2021) Machine learning technology in biodiesel research: A review. Progress in Energy and Combustion Science 85, pages 100904.
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Arian Hafezalkotob, Ashkan Hafezalkotob, Huchang Liao & Francisco Herrera. (2019) An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges. Information Fusion 51, pages 145-177.
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