An Enhanced Hidden Markov Map Matching Model for Floating Car Data
Sensors, 2018 The map matching (MM) model plays an important role in revising the locations of floating car data (FCD) on a digital map. However, most existing MM models have multiple shortcomings, such as a low matching accuracy for complex roads, long running times,
Mingliang Che +3 more
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Land subsidence prediction in Beijing based on PS-InSAR technique and improved Grey-Markov model
GIScience & Remote Sensing, 2017 Land subsidence induced by excessive groundwater withdrawal has caused serious social, geological, and environmental problems in Beijing. Rapid increases in population and economic development have aggravated the situation.
Zeng Deng +4 more
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A Markov Multi-Phase Transferable Belief Model for Cyber Situational Awareness [PDF]
IEEE Access, 2019 eXfiltration Advanced Persistent Threats (XAPTs) increasingly account for incidents concerned with critical information exfiltration from High Valued Targets (HVTs). Existing Cyber Defence frameworks and data fusion models cannot cope with XAPTs due to a
Georgios Ioannou +2 more
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Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data [PDF]
Frontiers in Computational Neuroscience, 2018 The dynamic nature of functional brain networks is being increasingly recognized in cognitive neuroscience, and methods to analyse such time-varying networks in EEG/MEG data are required.
Nitin J. Williams +2 more
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On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 In order to track a maneuvering target, multiple model (MM) methods have been researched. Almost MM algorithms have been developed based on Markov process. However, Markov based MM method is difficult to design and application-dependent.
Daebum Choi, Monica Samal, Byungha Ahn
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BMC Medical Research Methodology, 2018 Background Health economic evaluations of interventions in infectious disease are commonly based on the predictions of ordinary differential equation (ODE) systems or Markov models (MMs).
Katrin Haeussler +2 more
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Air conditioning reliability analysis based on dynamic Bayesian network and Markov model
International Journal of Metrology and Quality EngineeringWith the popularization of the air conditioning, its reliability during operation has gradually become a focus of attention. However, due to the uncertainty in the reliability analysis process, the accuracy of the results will be affected.
Xu Jiaqi +5 more
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Application of Markov Model to Estimate Individual Condition Parameters for Transformers [PDF]
Energies, 2018 This paper presents a study to estimate individual condition parameters of the transformer population based on Markov Model (MM). The condition parameters under study were hydrogen (H2), methane (CH4), acetylene (C2H2), ethylene (C2H4), ethane (C2H6 ...
Amran Mohd Selva +6 more
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Spatio-temporal simulation of future urban growth trends using an integrated CA-Markov model [PDF]
, 2021 Urban growth, a dynamic and demographic phenomenon, refers to the increased spatial value of urban areas, such as cities and towns, due to social and economic forces.
Alazaiza, MYD +9 more
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Evaluating covariate effects on ESM Measurement Model changes with Latent Markov Factor Analysis:A three-step approach [PDF]
, 2023 Invariance of the measurement model (MM) between subjects and within subjects over time is a prerequisite for drawing valid inferences when studying dynamics of psychological factors in intensive longitudinal data.
Vermunt, Jeroen K. +12 more
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