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Predicting minority class for suspended particulate matters level by extreme learning machine.

, , , and . Neurocomputing, (2014)

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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)Multi-Class Gastroesophageal Reflux Disease Classification System Using Deep Learning Techniques., , , , , , and . ICBBE, page 223-229. ACM, (2023)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)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)Efficient Incremental Offline Reinforcement Learning With Sparse Broad Critic Approximation., , , , , and . IEEE Trans. Syst. Man Cybern. Syst., 54 (1): 156-169 (January 2024)Empirical kernel map-based multilayer extreme learning machines for representation learning., , and . Neurocomputing, (2018)Single and Simultaneous Fault Diagnosis With Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach., , and . IEEE Trans. Ind. Informatics, 14 (12): 5245-5255 (2018)