Results 1 to 10 of about 101,818 (290)

Hidden hybrid Markov/semi-Markov chains [PDF]

open access: yesComputational Statistics & Data Analysis, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guédon, Yann
core   +12 more sources

The hidden Markov chain modelling of the COVID-19 spreading using Moroccan dataset [PDF]

open access: yesData 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
doaj   +2 more sources

ToPS: a framework to manipulate probabilistic models of sequence data. [PDF]

open access: yesPLoS 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
doaj   +1 more source

A Sticky Sampling and Markov State Transition Matrix Based Driving Cycle Construction Method for EV

open access: yesEnergies, 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
doaj   +1 more source

Toward Efficient Bayesian Approaches to Inference in Hierarchical Hidden Markov Models for Inferring Animal Behavior

open access: yesFrontiers 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
doaj   +1 more source

A Unified Framework for Fault Detection and Diagnosis Using Particle Filter [PDF]

open access: yesModeling, 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
doaj   +1 more source

THE APPLICATION OF DISCRETE HIDDEN MARKOV MODEL ON CROSSES OF DIPLOID PLANT

open access: yesBarekeng, 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
doaj   +1 more source

From Risk Assessment to Resilience Assessment. an Application to a Hazmat Storage Plant

open access: yesChemical 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
doaj   +1 more source

Distinguishing Hidden Markov Chains [PDF]

open access: yesProceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science, 2016
This is the full version of a LICS'16 ...
Kiefer, S, Sistla, A
openaire   +2 more sources

Introducing the Hidden Neural Markov Chain Framework

open access: yesProceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
13 pages, 4 figures, 4 tables, ICAART ...
Azeraf, Elie   +3 more
openaire   +2 more sources

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