Results 1 to 10 of about 63,611 (263)
The influence of observation sequence features on the performance of the Bayesian hidden Markov model: A Monte Carlo simulation study. [PDF]
PLoS ONEThe hidden Markov model is a popular modeling strategy for describing and explaining latent process dynamics. There is a lack of information on the estimation performance of the Bayesian hidden Markov model when applied to categorical, one-level data. We
Jan-Willem Simons +2 more
doaj +2 more sources
International Clinical Neuroscience Journal, 2022 Background: In this study, three detecting approaches have been proposed and evaluated for online detection of balance situations during quiet standing.
Rashin Abdolhossein Harisi +1 more
doaj +1 more source
Customer Behaviour Hidden Markov Model
Mathematics, 2022 In this work, the Customer behaviour hidden Markov model (CBHMM) is proposed to predict the behaviour of customers in e-commerce with the goal to forecast the store income. The model consists of three sub-models: Vendor, Psychology and Loyalty, returning
Ales Jandera, Tomas Skovranek
doaj +1 more source
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
doaj +1 more source
Driving style recognition method using braking characteristics based on hidden Markov model. [PDF]
PLoS ONE, 2017 Since the advantage of hidden Markov model in dealing with time series data and for the sake of identifying driving style, three driving style (aggressive, moderate and mild) are modeled reasonably through hidden Markov model based on driver braking ...
Chao Deng +3 more
doaj +1 more source
A Novel Human-Vehicle Interaction Assistive Device for Arab Drivers Using Speech Recognition
IEEE Access, 2022 About one-quarter of all car collisions in the United States are caused by distracted driving, and this ratio is expected to rise. As vehicles are equipped with more elaborate and complex technology, human-vehicle interaction via dashboard displays and ...
Ghadeer A. Jaradat +2 more
doaj +1 more source
Hidden Markov Model of System Elements Technical Maintenance by Age [PDF]
E3S Web of Conferences, 2020 Technical maintenance is between the methods of operation reliability and effectiveness increasing for systems of different purposes including power systems.
Obzherin Yuriy +2 more
doaj +1 more source
SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
Advanced Engineering Research, 2014 A hidden semi-Markov QP-model is considered; and the way it could be embedded in a general hidden semi-Markov model is shown. The estimation problem (the first of three classical theory problems of the hidden Markov models and hidden semi-Markov models ...
V. M. Deundyak, M. A. Zhdanova
doaj +1 more source
Hidden Markov Model Application to Transfer The Trader Online Forex Brokers
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2012 Hidden Markov Model is elaboration of Markov chain, which is applicable to cases that can’t directly observe. In this research, Hidden Markov Model is used to know trader’s transition to broker forex online.
Farida Suharleni +2 more
doaj +1 more source
Hidden Semi-Markov Models-Based Visual Perceptual State Recognition for Pilots
Sensors, 2023 Pilots’ loss of situational awareness is one of the human factors affecting aviation safety. Numerous studies have shown that pilot perception errors are one of the main reasons for a lack of situational awareness without a proper system to detect these ...
Lina Gao, Changyuan Wang, Gongpu Wu
doaj +1 more source