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Research on Motion State Recognition of Random Forest Based on Bayesian Optimization.

, , , и . ICISE, стр. 79-83. ACM, (2021)

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Guanghui Peng

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Constructing the Model of Propylene Distillation Based on Neural Networks., , , , и . ISIC, стр. 430-434. IEEE, (2007)SMDE: Unsupervised representation learning for time series based on signal mode decomposition and ensemble., , , , и . Knowl. Based Syst., (2024)Research on Motion State Recognition of Random Forest Based on Bayesian Optimization., , , и . ICISE, стр. 79-83. ACM, (2021)Application of Extended Belief Network Model for Scientific Document Retrieval., , , , и . FSKD (4), стр. 535-539. IEEE Computer Society, (2009)Relationship Between Large-Scale Functional and Structural Covariance Networks in Idiopathic Generalized Epilepsy., , , , , , , , и . Brain Connect., 3 (3): 240-254 (2013)An Efficient Architecture Search for Scalable Beamforming Design in Cell-Free Systems., , , , и . IEEE Trans. Veh. Technol., 73 (7): 10241-10253 (июля 2024)CAGn: High-Order Coordinated Attention Module for Improving Fall Detection Models., , , , , и . IECON, стр. 1-6. IEEE, (2023)A Deep Learning Method: QoS-Aware Joint AP Clustering and Beamforming Design for Cell-Free Networks., , , , и . IEEE Trans. Commun., 71 (12): 7023-7038 (декабря 2023)An efficient neural network optimized by fruit fly optimization algorithm for user equipment association in software-defined wireless sensor network., , , и . Int. J. Netw. Manag., (2020)Rice Variety Identification Based on the Leaf Hyperspectral Feature via LPP-SVM., , , , , , и . Int. J. Pattern Recognit. Artif. Intell., 36 (15): 2350001:1-2350001:17 (декабря 2022)