The hidden Markov chain modelling of the COVID-19 spreading using Moroccan dataset [PDF]
Data in Brief, 2020 The World Health Organization (WHO) declared in March 12, 2020 the COVID-19 disease as pandemic. In Morocco, the first local transmission case was detected in March 13.
Abdelghafour Marfak +7 more
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Ergodicity and regime recoverability in finite Markov-modulated random walks [PDF]
Scientific ReportsWe study a finite Markov-modulated random walk (MMRW) on a one-dimensional lattice with reflecting boundaries, where a hidden finite-state Markov environment $$E_t$$ selects at each time step a regime-specific random walk kernel for the position process $
Arina Pambukyan +2 more
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ToPS: a framework to manipulate probabilistic models of sequence data. [PDF]
PLoS Computational Biology, 2013 Discrete Markovian models can be used to characterize patterns in sequences of values and have many applications in biological sequence analysis, including gene prediction, CpG island detection, alignment, and protein profiling.
André Yoshiaki Kashiwabara +5 more
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A Sticky Sampling and Markov State Transition Matrix Based Driving Cycle Construction Method for EV
Energies, 2022 Driving cycle (DC) plays an important role in designing and evaluating EVs, and many Markov chain-based DC construction methods describe driving profiles of unfixed-line vehicles with Markov state transition probability.
Li Zhao +4 more
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Frontiers in Ecology and Evolution, 2021 The study of animal behavioral states inferred through hidden Markov models and similar state switching models has seen a significant increase in popularity in recent years.
Giada Sacchi, Ben Swallow
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A Unified Framework for Fault Detection and Diagnosis Using Particle Filter [PDF]
Modeling, Identification and Control, 2014 In this paper, a particle filter (PF) based fault detection and diagnosis framework is proposed. A system with possible faults is modeled as a group of hidden Markov models representing the system in fault-free mode and different failure modes, and a ...
Bo Zhao, Roger Skjetne
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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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THE APPLICATION OF DISCRETE HIDDEN MARKOV MODEL ON CROSSES OF DIPLOID PLANT
Barekeng, 2023 The hidden Markov model consists of a pair of an unobserved Markov chain {Xk} and an observation process {Yk}. In this research, the crosses of diploid plant apply the model.
Nahrul Hayati +2 more
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Prediksi Kurs Rupiah Terhadap Dolar Dengan FTS-Markov Chain Dan Hidden Markov Model
Jurnal Derivat, 2019 Hidden Markov model is a development of the Markov chain where the state cannot be observed directly (hidden), but can only be observed, a set of other observations and combination of fuzzy logic and Markov chain to predict Rupiah exchange rate against ...
Maria Titah Jatipaningrum +2 more
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Modelling and Prediction of Random Delays in NCSs Using Double-Chain HMMs
Discrete Dynamics in Nature and Society, 2020 This paper is concerned with the modelling and prediction of random delays in networked control systems. The stochastic distribution of the random delay in the current sampling period is assumed to be affected by the network state in the current sampling
Yuan Ge +5 more
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