Applied Sciences, 2018 Based on the dynamic properties of electrical connector intermittent failure, the model and methods for residual life prediction for electrical connectors are studied in this paper.
Qian Li +3 more
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On-line apnea-bradycardia detection using hidden semi-Markov models
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011 In this work, we propose a detection method that exploits not only the instantaneous values, but also the intrinsic dynamics of the RR series, for the detection of apnea-bradycardia episodes in preterm infants. A hidden semi-Markov model is proposed to represent and characterize the temporal evolution of observed RR series and different pre-processing ...
Altuve, Miguel +4 more
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Properties of the Statistical Complexity Functional and Partially Deterministic HMMs
Entropy, 2009 Statistical complexity is a measure of complexity of discrete-time stationary stochastic processes, which has many applications. We investigate its more abstract properties as a non-linear function of the space of processes and show its close relation to
Wolfgang Löhr
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Labeling self-tracked menstrual health records with hidden semi-Markov models [PDF]
, 2021 Laura Symul, Susan Holmes
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Prediction and Power in Molecular Sensors: Uncertainty and Dissipation When Conditionally Markovian Channels Are Driven by Semi-Markov Environments [PDF]
, 2017 Sensors often serve at least two purposes: predicting their input and minimizing dissipated heat. However, determining whether or not a particular sensor is evolved or designed to be accurate and efficient is difficult.
Crutchfield, James P., Marzen, Sarah E.
core +1 more source
Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors [PDF]
, 2023 Edward Kozłowski +3 more
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A Hidden Semi-Markov Model-Based Speech Synthesis System
IEICE Transactions on Information and Systems, 2007 A statistical speech synthesis system based on the hidden Markov model (HMM) was recently proposed. In this system, spectrum, excitation, and duration of speech are modeled simultaneously by context-dependent HMMs, and speech parameter vector sequences are generated from the HMMs themselves.
Heiga Zen +4 more
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Virus Detection in Multiplexed Nanowire Arrays using Hidden Semi-Markov models [PDF]
, 2022 Shalini Ghosh +3 more
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Hierarchical semi-markov conditional random fields for recursive sequential data [PDF]
, 2008 Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov chains to model complex hierarchical, nested Markov processes.
Bui, Hung H. +3 more
core +2 more sources
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference [PDF]
, 2022 Ahmed M. Alaa, Mihaela van der Schaar
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