Results 1 to 10 of about 15,765,709 (217)
biomvRhsmm: genomic segmentation with hidden semi-Markov model. [PDF]
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 +4 more sources
Hidden Semi-Markov Models-Based Visual Perceptual State Recognition for Pilots
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 +3 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shun-Zheng Yu
exaly +3 more sources
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models
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
A Novel Health Prognosis Method for a Power System Based on a High-Order Hidden Semi-Markov Model
Power system health prognosis is a key process of condition-based maintenance. For the problem of large error in the residual lifetime prognosis of a power system, a novel residual lifetime prognosis model based on a high-order hidden semi-Markov model ...
Qinming Liu +4 more
doaj +3 more sources
Detection of sedentary time and bouts using consumer-grade wrist-worn devices: a hidden semi-Markov model [PDF]
Background 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
Deep Hidden Semi-Markov Model-Based Speech Synthesis
This paper proposes a speech synthesis technique based on a neural sequence-to-sequence (Seq2Seq) model that incorporates the structure of hidden semi-Markov models (HSMMs).
Yoshihiko Nankaku +6 more
doaj +2 more sources
Heart sound segmentation (HSS) is a critical step in heart sound processing, where it improves the interpretability of heart sound disease classification algorithms.
Yibo Yin, Kainan Ma, Ming Liu
doaj +3 more sources
The Effects of Mindfulness on Brain Network Dynamics Following an Acute Stressor in a Population of Drinking Adults [PDF]
Background: 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
Hidden Markov Model of System Elements Technical Maintenance by Age [PDF]
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

