Results 21 to 30 of about 29,392 (243)
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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Fatigue crack fault diagnosis and prognosis based on hidden semi-Markov model
The Journal of Engineering, 2018 Aiming at the fault diagnosis and remaining useful life (RUL) prediction of fatigue cracks of a helicopter main gearbox planet carrier, this article proposes a hidden semi-Markov model (HSMM) methodology, which introduces the explicit state durational ...
Lei Fan +3 more
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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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Bayesian Nonparametric Hidden Semi-Markov Models
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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Production flow modeling based on BLE-based RSSI data with non-detectable areas [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 This study presents a method for modelling manufacturing processes to predict key performance indicators (KPIs) such as cycle time using Bluetooth Low Energy (BLE) data. We consider BLE applications to be similar to Radio-Frequency IDentification (RFID)
Karishma Agrawal, Supachai Vorapojpisut
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Methods in Ecology and Evolution, 2023 Every year, millions of birds migrate between breeding and nonbreeding habitat, but the relative numbers of animals moving between sites are difficult to observe directly.
Sam Nicol +6 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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Semi-Markov and hidden semi-Markov models of energy systems [PDF]
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. The solution of this problem is possible based on construction of mathematical models concerning different aspects of these systems ...
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Learning Evolutionary Stages with Hidden Semi-Markov Model for Predicting Social Unrest Events
Discrete Dynamics in Nature and Society, 2020 Social unrest events are common happenings in modern society which need to be proactively handled. An effective method is to continuously assess the risk of upcoming social unrest events and predict the likelihood of these events. Our previous work built
Fengcai Qiao, Xin Zhang, Jinsheng Deng
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A Novel Health Prognosis Method for a Power System Based on a High-Order Hidden Semi-Markov Model
Energies, 2021 Power system health prognosis is a key process of condition-based maintenance. For the problem of large error in the residual lifetime prognosis of a power system, a novel residual lifetime prognosis model based on a high-order hidden semi-Markov model ...
Qinming Liu +4 more
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