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Activity recognition from smartphone data using weighted learning methods.

, and . Intelligenza Artificiale, 15 (1): 1-15 (2021)

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The joint use of sequence features combination and modified weighted SVM for improving daily activity recognition., , , and . Pattern Anal. Appl., 21 (1): 119-138 (2018)New incremental SVM algorithms for human activity recognition in smart homes., , , and . J. Ambient Intell. Humaniz. Comput., 14 (10): 13433-13450 (October 2023)New methodology for the short range localization of UHF RFID tags using a linear uniform array., , , and . 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., and . Inf., 6 (3): 505-521 (2015)Soft margin SVM modeling for handling imbalanced human activity datasets in multiple homes., , , and . ICMCS, page 421-426. IEEE, (2014)Simulation and measurement of collision signal in passive UHF RFID system and edge transition anti-collision algorithm., , , and . RFID-TA, page 277-282. IEEE, (2014)Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier., and . ICOST, volume 12157 of Lecture Notes in Computer Science, page 386-394. Springer, (2020)Activity Recognition From Smartphone Data Using WSVM-HMM Classification., and . Int. J. E Health Medical Commun., 12 (6): 1-20 (2021)Speaker diarization using one-class support vector machines., , and . Speech Commun., 50 (5): 355-365 (2008)Toward a New PHY Layer Scheme for Decoding Tags Collision Signal in UHF RFID System., , and . IEEE Commun. Lett., 20 (11): 2233-2236 (2016)