Hidden Markov Model of System Elements Technical Maintenance by Age [PDF]
E3S Web of Conferences, 2020 Technical maintenance is between the methods of operation reliability and effectiveness increasing for systems of different purposes including power systems.
Obzherin Yuriy +2 more
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SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS [PDF]
Advanced Engineering Research, 2014 A hidden semi-Markov QP-model is considered; and the way it could be embedded in a general hidden semi-Markov model is shown. The estimation problem (the first of three classical theory problems of the hidden Markov models and hidden semi-Markov models ...
V. M. Deundyak, M. A. Zhdanova
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Decoding the Australian electricity market: New evidence from three-regime hidden semi-Markov model [PDF]
Energy Economics, 2019 The hidden semi-Markov model (HSMM) is more flexible than the hidden Markov model (HMM). As an extension of the HMM, the sojourn time distribution in the HSMM can be explicitly specified by any distribution, either nonparametric or parametric ...
N. Apergis +3 more
semanticscholar +3 more sources
Bayesian Nonparametric Hidden Semi-Markov Models [PDF]
J. Mach. Learn. Res., 2012 There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data. However, in many settings the HDP-HMM's strict Markovian constraints are undesirable, particularly if we wish to learn or encode
Johnson, Matthew James, Willsky, Alan S.
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Evaluating the CDMA System Using Hidden Markov and Semi Hidden Markov Models [PDF]
IPTEK The Journal for Technology and Science, 2021 CDMA is an important and basic part of today’s communications technologies. This technology can be analyzed efficiently by reducing the time, computation burden, and cost by characterizing the physical layer with a Markov Model. Waveform level simulation is generally used for simulating different parts of a digital communication system.
Shirin Kordnoori +3 more
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A zero-inflated hidden semi-Markov model with covariate-dependent sojourn parameters for analysing marine data in the Venice lagoon [PDF]
Journal of the Royal Statistical Society, Series C: Applied StatisticsThis paper introduces a concomitant-variable hidden semi-Markov model tailored to analyse marine count data in the Venice lagoon. Our model targets acqua alta events, i.e.
Lorena Ricciotti +3 more
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Structured Inference for Recurrent Hidden Semi-markov Model [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Segmentation and labeling for high dimensional time series is an important yet challenging task in a number of applications, such as behavior understanding and medical diagnosis.
Hao Liu +5 more
semanticscholar +2 more sources
A method to estimate the probability of strong winds occurrence using weather radar data
Wind Energy, 2022 Weather radars are capable of detecting and displaying storm‐related turbulence as well as precipitation rate with fine spatial resolution and reliable quality. Especially, weather radars can enable the detection of atmospheric conditions in the vicinity
Navid Chiniforoush +2 more
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hsmm — An R package for analyzing hidden semi-Markov models [PDF]
Computational Statistics & Data Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bulla, Jan, Bulla, Ingo, Nenadic, Oleg
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Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2021 Abdominal auscultation is a convenient, safe and inexpensive method to assess bowel conditions, which is essential in neonatal care. It helps early detection of neonatal bowel dysfunctions and allows timely intervention.
C. Sitaula +8 more
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