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Published in 2021 at "Asian Journal of Control"
DOI: 10.1002/asjc.2525
Abstract: In this paper, the hidden Markov model method is used to represent the asynchronous mode variations between the original systems and the fault estimator. The robust H∞ performance index is employed when calculating the fault…
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Keywords:
hidden markov;
fault estimation;
markov;
markov model ... See more keywords
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Published in 2017 at "International Transactions on Electrical Energy Systems"
DOI: 10.1002/etep.2265
Abstract: Summary The development of the smart grid will lead to increased possibilities to improve energy efficiency via demand-side management (DSM) and ultimately contribute to a more sustainable and secure energy system. The smart grid will…
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Keywords:
hidden markov;
energy;
load curves;
side management ... See more keywords
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Published in 2017 at "Journal of Forecasting"
DOI: 10.1002/for.2447
Abstract: Hidden Markov models are often used to model daily returns and to infer the hidden state of financial markets. Previous studies have found that the estimated models change over time, but the implications of the…
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Keywords:
hidden markov;
varying parameters;
time varying;
time ... See more keywords
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Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5824
Abstract: This article investigates the hidden Markov model based H∞ filter design problem for the singular semi‐Markov jump systems (SSMJSs). The considered semi‐Markov process is a generalization of Markov process, which can eliminate the restriction on…
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Keywords:
model based;
hidden markov;
markov;
semi markov ... See more keywords
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Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6753-7_1
Abstract: A number of real-world systems have common underlying patterns among them and deducing these patterns is important for us in order to understand the environment around us. These patterns in some instances are apparent upon…
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Keywords:
hidden markov;
introduction hidden;
markov models;
biology ... See more keywords
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Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6753-7_14
Abstract: Recent innovations in sensing and Information and Communication Technology (ICT) have enabled researchers in animal behavior to collect an enormous amount of data. Consequently, the development of an automated system to substitute for some of…
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Keywords:
hidden markov;
automated estimation;
markov model;
model ... See more keywords
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Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6753-7_6
Abstract: The present study devises mapping methodologies and projection techniques that visualize and demonstrate biological sequence data clustering results. The Sequence Data Density Display (SDDD) and Sequence Likelihood Projection (SLP) visualizations represent the input symbolical sequences…
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Keywords:
hidden markov;
markov model;
organizing hidden;
biological sequence ... See more keywords
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Published in 2019 at "European Biophysics Journal"
DOI: 10.1007/s00249-019-01368-1
Abstract: Ion channel data recorded using the patch clamp technique are low-pass filtered to remove high-frequency noise. Almanjahie et al. (Eur Biophys J 44:545–556, 2015) based statistical analysis of such data on a hidden Markov model…
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Keywords:
hidden markov;
markov model;
moving average;
correlated noise ... See more keywords
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Published in 2019 at "Statistical Papers"
DOI: 10.1007/s00362-019-01146-3
Abstract: Despite recent methodological advances in hidden Markov regression models and a rapid increase in their application in a wide range of empirical settings, complex clustering-based research questions that include the contribution of the covariates set…
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Keywords:
hidden markov;
regression;
models random;
regression models ... See more keywords
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Published in 2020 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-020-03447-2
Abstract: Monthly-to-seasonal precipitation forecasts are important in water resource management. Hidden Markov models (HMM) are widely applied in precipitation simulation due to its simplicity and advancements in associated computing techniques. HMMs, however, lack the flexibility to…
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Keywords:
hidden markov;
markov model;
homogeneous hidden;
non homogeneous ... See more keywords
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Published in 2020 at "Central European Journal of Operations Research"
DOI: 10.1007/s10100-019-00628-x
Abstract: Visual inspection is used in many areas due to the potential high costs of inspection error such as injury, fatality, loss of expensive equipment, scrapped items, rework, or failure to procure repeat business. This study…
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Keywords:
hidden markov;
markov models;
analysis visual;
eye tracking ... See more keywords