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Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference.

, , and . Eng. Appl. Artif. Intell., 19 (3): 277-287 (2006)

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Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction., , , and . Neurocomputing, (2015)Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis., , and . Eng. Appl. Artif. Intell., 24 (7): 1281-1294 (2011)Predictive Air-Ratio Controller for Automotive Engines Based on Online Neural Network: Design and Experimental Evaluation., , , and . ACIS-ICIS, page 275-279. IEEE Computer Society, (2010)A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine., , , , , , and . Cogn. Comput., 14 (2): 828-851 (2022)Probabilistic Adaptive Dynamic Programming for Optimal Reliability-Critical Control With Fault Interruption Estimation., , , and . IEEE Trans. Ind. Informatics, 20 (6): 8524-8535 (June 2024)Multi-Class Gastroesophageal Reflux Disease Classification System Using Deep Learning Techniques., , , , , , and . ICBBE, page 223-229. ACM, (2023)Inspection and control of vehicle emissions through Internet of Things and traffic lights., , , and . ICCVE, page 863-868. IEEE, (2013)Modelling and Prediction of Electronically Controlled Automotive Engine Power and Torque Using Support Vector Machines., , , and . LAPTEC, volume 132 of Frontiers in Artificial Intelligence and Applications, page 87-96. IOS Press, (2005)Simultaneous faults diagnosis for automotive ignition patterns., , and . ICMLC, page 1324-1330. IEEE, (2011)Empirical kernel map-based multilayer extreme learning machines for representation learning., , and . Neurocomputing, (2018)