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Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum., , , , и . Entropy, 21 (1): 50 (2019)On the Classification of Some Three Dimensional Quaternary Optimal Self-orthogonal Codes., , и . WKDD, стр. 806-810. IEEE Computer Society, (2009)Research on Performance Degradation Assessment Method of Train Rolling Bearings under incomplete data., , , , и . DMS, стр. 184-189. KSI Research Inc. / Knowledge Systems Institute Graduate School, (2016)Improved Fine Granular Scalable Coding with Inter-Layer Prediction., , , и . DCC, стр. 172-. IEEE Computer Society, (2002)Statistic-based CRM approach via time series segmenting RFM on large scale data., , , и . UCC, стр. 282-291. ACM, (2016)Variable Frame-Rate Video Coding Based on Global Motion Analysis., , , и . IEEE Pacific Rim Conference on Multimedia, том 2195 из Lecture Notes in Computer Science, стр. 426-433. Springer, (2001)Supply Chain Contracts in the Small Data Regime., , и . Manuf. Serv. Oper. Manag., 26 (4): 1387-1401 (2024)Adaptive Contrastive Learning with Label Consistency for Source Data Free Unsupervised Domain Adaptation., , , , , , и . Sensors, 22 (11): 4238 (2022)Understanding real faults of axle box bearings based on vibration data using decision tree., , , и . ICPHM, стр. 1-5. IEEE, (2018)Intelligent Fault Identification for Rolling Element Bearings in Impulsive Noise Environments Based on Cyclic Correntropy Spectra and LSSVM., , , и . IEEE Access, (2020)