Semi-Markov and hidden semi-Markov models of energy systems
E3S Web of Conferences, 2018 The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy systems.
Obzherin Yuriy E.
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Applications of hidden Markov models in financial modelling [PDF]
, 2008 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.Various models driven by a hidden Markov chain in discrete or continuous time are developed to capture the stylised features of market variables whose ...
Erlwein, Christina
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Prediction of PM2.5 pollution in Tehran air based on temperature and pressure using Markovian regime-switching non-parametric additive transitive regression model [PDF]
ریاضی و جامعه, 2023 In this paper, we introduce the Markovian regime-switching regression model, which is a graphical model based on the hidden Markov model. This model can be viewed as a clustered regression model, in which a Markov process models the transition from one ...
Morteza Amini
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Human Activities Recognition using Semi-Supervised SVM and Hidden Markov Models
TecnoLógicas, 2022 Automatic human activity recognition is an area of interest for developing health, security, and sports applications. Currently, it is necessary to develop methods that facilitate the training process and reduce the costs of this process.
Santiago Morales García +2 more
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Hidden Markov models: the best models for forager movements? [PDF]
PLoS ONE, 2013 One major challenge in the emerging field of movement ecology is the inference of behavioural modes from movement patterns. This has been mainly addressed through Hidden Markov models (HMMs).
Rocio Joo +3 more
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An agent-based implementation of hidden Markov models for gas turbine condition monitoring [PDF]
, 2014 This paper considers the use of a multi-agent system (MAS) incorporating hidden Markov models (HMMs) for the condition monitoring of gas turbine (GT) engines.
Twiddle, John +3 more
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A Generic Clustering-Based Algorithm for Approximating IOHMM Topology and Parameters
IEEE Access, 2021 In this paper, a novel generic clustering-based algorithm for approximating the topology and the parameters of discrete state space Input/Output Hidden Markov Models (IOHMMs) with continuous observation spaces is introduced. The algorithm can accommodate
Gerald Rocher +2 more
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SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
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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Hidden semi-Markov Model based earthquake classification system using Weighted Finite-State Transducers [PDF]
Nonlinear Processes in Geophysics, 2011 Automatic earthquake detection and classification is required for efficient analysis of large seismic datasets. Such techniques are particularly important now because access to measures of ground motion is nearly unlimited and the target waveforms ...
M. Beyreuther, J. Wassermann
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Bayesian fusion of hidden Markov models for understanding bimanual movements [PDF]
, 2004 Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and human-computer interaction. A part of this can be the recognition of movements in which the two hands move simultaneously to do something or ...
A. Sutherland +5 more
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