From post

Fault Diagnosis Method for High-Speed Train Lateral Damper Based on Variational Mode Decomposition and Multiscale Entropy.

, , , и . ITITS, том 296 из Frontiers in Artificial Intelligence and Applications, стр. 321-330. IOS Press, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Visual abnormality detection framework for train-mounted pantograph headline surveillance., , и . ITSC, стр. 847-852. IEEE, (2014)Adaptive Stacked Denoising Autoencoder for Work Mode Identification of Airborne Active Phased Array Radar., , , и . AsiaSim/SCS AutumnSim (1), том 643 из Communications in Computer and Information Science, стр. 227-236. (2016)Characterization and Classification of EEG Attention Based on Fuzzy Entropy., , , и . ICDMA, стр. 277-280. IEEE Computer Society, (2012)Radar Emitter Signal Recognition Based on Feature Selection and Support Vector Machines., , , , и . ICIC (1), том 3644 из Lecture Notes in Computer Science, стр. 707-716. Springer, (2005)Deep adaptive temporal network (DAT-Net): an effective deep learning model for parameter estimation of radar multipath interference signals., , , , и . EURASIP J. Adv. Signal Process., 2023 (1): 94 (декабря 2023)Fault analysis of High Speed Train with DBN hierarchical ensemble., , , , и . IJCNN, стр. 2552-2559. IEEE, (2016)Multi-Agent System for Multimedia Communications Traversing NAT/Firewall in Next Generation Networks., и . CNSR, стр. 99-104. IEEE Computer Society, (2004)The study of cooperative behavior in predator-prey problem of multi-agent systems., и . ISADS, стр. 90-96. IEEE Computer Society, (2005)Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals., , , , , и . IET Signal Process., (2024)Radar emitter signal recognition based on support vector machines., , и . ICARCV, стр. 826-831. IEEE, (2004)