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New incremental SVM algorithms for human activity recognition in smart homes., , , и . J. Ambient Intell. Humaniz. Comput., 14 (10): 13433-13450 (октября 2023)The joint use of sequence features combination and modified weighted SVM for improving daily activity recognition., , , и . Pattern Anal. Appl., 21 (1): 119-138 (2018)New methodology for the short range localization of UHF RFID tags using a linear uniform array., , , и . Int. J. RF Technol. Res. Appl., 10 (1-2): 9-26 (2019)News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM., и . Inf., 6 (3): 505-521 (2015)Soft margin SVM modeling for handling imbalanced human activity datasets in multiple homes., , , и . ICMCS, стр. 421-426. IEEE, (2014)Simulation and measurement of collision signal in passive UHF RFID system and edge transition anti-collision algorithm., , , и . RFID-TA, стр. 277-282. IEEE, (2014)Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier., и . ICOST, том 12157 из Lecture Notes in Computer Science, стр. 386-394. Springer, (2020)A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data., , , и . Kybernetes, 43 (8): 1150-1164 (2014)Activity Recognition From Smartphone Data Using WSVM-HMM Classification., и . Int. J. E Health Medical Commun., 12 (6): 1-20 (2021)Speaker diarization using one-class support vector machines., , и . Speech Commun., 50 (5): 355-365 (2008)