Results 21 to 30 of about 8,159 (239)
From Risk Assessment to Resilience Assessment. an Application to a Hazmat Storage Plant
Chemical Engineering Transactions, 2020 The purpose of this work is to outline a framework for assessing the resilience of a petrochemical storage plant, through the construction of a dynamic hierarchical Bayesian network. The BN approach allows keeping memory of the states, in order to manage
Tomaso Vairo +2 more
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Hidden Markov Model and States Prediction of an Autonomous Wind-Diesel Complex [PDF]
E3S Web of Conferences, 2023 The problem of assessing the reliability and analyzing the functioning of an autonomous winddiesel complex, consisting of a wind power plant, working and standby diesel generators, an inverter and a storage battery, is considered.
Obzherin Yuriy E. +2 more
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A coupled hidden Markov model for disease interactions [PDF]
, 2012 To investigate interactions between parasite species in a host, a population of field voles was studied longitudinally, with presence or absence of six different parasites measured repeatedly.
Telfer, S.E. +11 more
core +1 more source
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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hhsmm: an R package for hidden hybrid Markov/semi-Markov models
Computational Statistics, 2022 This paper introduces the hhsmm R package, which involves functions for initializing, fitting, and predication of hidden hybrid Markov/semi-Markov models. These models are flexible models with both Markovian and semi-Markovian states, which are applied to situations where the model involves absorbing or macro-states.
Morteza Amini +2 more
openaire +2 more sources
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]
, 2011 This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Jinchang Ren +11 more
core +1 more source
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
doaj +1 more source
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
doaj
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
doaj +1 more source