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Continuous Monitoring of Health and Mobility Indicators in Patients with Cardiovascular Disease: A Review of Recent Technologies.

, , , и . Sensors, 23 (12): 5752 (2023)

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Mariya Mihaylova

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Lyudmila Lyubenova

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Lyudmila Shumilovskikh

 

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Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods., , , , , и . Modeling, Simulation and Visual Analysis of Crowds, том 11 из The International Series in Video Computing, Springer, (2013)Online Sparse Multi-Output Gaussian Process Regression and Learning., , и . IEEE Trans. Signal and Information Processing over Networks, 5 (2): 258-272 (2019)A novel approach to estimating current and future states of technical systems., , , , и . ICNC, стр. 512-516. IEEE Computer Society, (2012)Contour segmentation in 2D ultrasound medical images with particle filtering., и . Mach. Vis. Appl., 22 (3): 551-561 (2011)Structural Similarity-Based Object Tracking in Video Sequences., , , и . FUSION, стр. 1-6. IEEE, (2006)Sequential Monte Carlo algorithms for joint target tracking and classification using kinematic radar information, и . Proceedings of the Seventh International Conference on Information Fusion, II, стр. 709--716. Mountain View, CA, International Society of Information Fusion, (июня 2004)Monte Carlo Algorithm for Maneuvering Target Tracking and Classification., , и . International Conference on Computational Science, том 3039 из Lecture Notes in Computer Science, стр. 531-539. Springer, (2004)Statistical approach for reconstruction of dynamic brain dipoles based on EEG data., , , и . IJCNN, стр. 2592-2599. IEEE, (2014)Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements., , , и . IEEE Trans. Signal and Information Processing over Networks, 4 (3): 510-518 (2018)An End-to-End Deep Neural Network for Facial Emotion Classification., , и . FUSION, стр. 1-7. IEEE, (2019)