Results 1 to 10 of about 8,159 (239)
Artificial Intelligence, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shun-Zheng Yu
exaly +3 more sources
biomvRhsmm: genomic segmentation with hidden semi-Markov model. [PDF]
Biomed Res Int, 2014 High-throughput technologies like tiling array and next-generation sequencing (NGS) generate continuous homogeneous segments or signal peaks in the genome that represent transcripts and transcript variants (transcript mapping and quantification), regions of deletion and amplification (copy number variation), or regions characterized by particular ...
Du Y, Murani E, Ponsuksili S, Wimmers K.
europepmc +5 more sources
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 +2 more sources
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models
IEEE Access, 2016 In this paper, a joint feature selection and parameter estimation algorithm is presented for hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs).
Stephen Adams +2 more
doaj +2 more sources
Detection of sedentary time and bouts using consumer-grade wrist-worn devices: a hidden semi-Markov model [PDF]
BMC Medical Research MethodologyBackground Wrist-worn data from commercially available devices has potential to characterize sedentary time for research and for clinical and public health applications.
Agus Salim +11 more
doaj +2 more sources
The Effects of Mindfulness on Brain Network Dynamics Following an Acute Stressor in a Population of Drinking Adults [PDF]
Brain SciencesBackground: Previous research has found that mindfulness-based techniques are beneficial for reducing stress in heavy-drinking individuals. However, the underlying neurobiology of these stress-reducing effects are unclear.
Shannon M. O’Donnell +6 more
doaj +2 more sources
A method to estimate the probability of strong winds occurrence using weather radar data
Wind Energy, 2022 Weather radars are capable of detecting and displaying storm‐related turbulence as well as precipitation rate with fine spatial resolution and reliable quality. Especially, weather radars can enable the detection of atmospheric conditions in the vicinity
Navid Chiniforoush +2 more
doaj +4 more sources
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
Hidden Semi-Markov Models for Predictive Maintenance [PDF]
Mathematical Problems in Engineering, 2015 Realistic predictive maintenance approaches are essential for condition monitoring and predictive maintenance of industrial machines. In this work, we propose Hidden Semi-Markov Models (HSMMs) with (i) no constraints on the state duration density function and (ii) being applied to continuous or discrete observation. To deal with such a type of HSMM, we
Francesco Cartella +3 more
openaire +3 more sources
Heavy tailed hidden semi-markov models [PDF]
Communications in Statistics. Stochastic Models, 1998 Summary: Hidden semi-Markov models have been proposed by \textit{K. S. Meier-Hellstern}, \textit{P. E. Wirth}, \textit{Y. L. Yan} and \textit{D. A. Hoeflin} [in: Teletraffic and datatraffic in a period of change (A. Jensen and V. B. Iversen (eds.)), 167-192 (1991)] to model the times between transmission of packets at a source.
Resnick, Sidney, Subramanian, Ajay
openaire +1 more source