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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 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_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 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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1
Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2341-6
Abstract: In order to reduce the fuel consumption of idling, lots of vehicles are equipped with idle start–stop system. In the actual traffic situation, heavy traffic result in frequent short time idle stop, which causes two…
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Keywords:
idle time;
markov model;
time;
improved markov ... See more keywords
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Published in 2019 at "Environment, Development and Sustainability"
DOI: 10.1007/s10668-019-00387-4
Abstract: Land-use change of a region acts as an indicator of human impact on the landscape. Increasing urban growth has induced adverse landscape alterations which need to be predicted and controlled, especially in the urban areas…
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Keywords:
land use;
markov model;
land;
land cover ... See more keywords
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Published in 2017 at "Extremes"
DOI: 10.1007/s10687-016-0275-z
Abstract: Heatwaves are defined as a set of hot days and nights that cause a marked short-term increase in mortality. Obtaining accurate estimates of the probability of an event lasting many days is important. Previous studies…
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Keywords:
dependence;
order;
markov model;
order markov ... See more keywords
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Published in 2021 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-021-09856-8
Abstract: We are interested here in a theoretical and practical approach for detecting atypical segments in a multi-state sequence. We prove in this article that the segmentation approach through an underlying constrained Hidden Markov Model (HMM)…
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Keywords:
hidden markov;
local score;
sequence;
constrained hidden ... See more keywords
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Published in 2018 at "Natural Hazards"
DOI: 10.1007/s11069-018-3343-7
Abstract: AbstractHidden Markov Model (HMM) has been developed for avalanche warning on 10 different road sectors in Pir-Panjal and Great Himalayan mountain ranges of North-West Himalaya. The model uses a data set of nine snow and…
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Keywords:
west himalaya;
north west;
markov model;
avalanche ... See more keywords