Analyzing Single Molecule FRET Trajectories Using HMM.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6753-7_7
Abstract: Structural dynamics of biomolecules, such as proteins, plays essential roles in many biological phenomena at molecular level. It is crucial to understand such dynamics in recent biology. The single-molecule Förster resonance energy transfer (smFRET) measurement… read more here.
Keywords: hmm; single molecule; molecule fret; biology ... See more keywords
The efficiency of the NSHPZ-HMM: theoretical and practical study
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1217-z
Abstract: In this paper, we propose a novel HMM-based 2-D recognition engine, namely the NSHPZ-HMM. Like the reference model (the NSHP-HMM), the proposed classifier brings the efficient training and decoding algorithms of 1-D HMM to the… read more here.
Keywords: hmm; nshpz hmm; level; recognition ... See more keywords
Mathematical basis of improved protein subfamily classification by a HMM-based sequence filter.
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical biosciences"
DOI: 10.1016/j.mbs.2017.09.001
Abstract: Informative phylogenetic analysis is dependent on the presence of curated and annotated sequences. This may be complemented by the simultaneous availability of empirical data pertaining to their in vivo function. Confounding sequences, with their similarity… read more here.
Keywords: hmm; basis improved; mathematical basis; sequence ... See more keywords
Refinement of HMM Model Parameters for Punjabi Automatic Speech Recognition (PASR) System
Sign Up to like & getrecommendations! Published in 2018 at "IETE Journal of Research"
DOI: 10.1080/03772063.2017.1369370
Abstract: ABSTRACT An automatic speech recognition system follows an approach of pattern matching, which consists of a training phase and testing phase. Despite advancement in training phase, the performance of the acoustic model is adverse while… read more here.
Keywords: phase; hmm; system; automatic speech ... See more keywords
High-Accuracy Off-Line Map-Matching of Trajectory Network Division Based on Weight Adaptation HMM
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2964099
Abstract: In this paper, an accurate off-line map-matching (OM2) system is designed for complex trajectory networks. It is difficult to complex trajectories input into the hidden Markov model (HMM) directly. OM2 includes three key modules that… read more here.
Keywords: hmm; map matching; trajectory; line map ... See more keywords
Applying a WNN-HMM Based Driver Model in Human Driver Simulation: Method and Test
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2017.2776118
Abstract: Modeling and evaluation of human driving behavior are the core to intelligent transportations and autonomous vehicles. This paper applies a human-like driver model based on vehicle test data and the neural network. This is accomplished… read more here.
Keywords: test; hmm; driver; like driver ... See more keywords
Hui Medicine Moxibustion Promotes the Absorption of Lumbar Disc Herniation and the Recovery of Motor Function in Rats through Fas/FasL Signaling Pathway
Sign Up to like & getrecommendations! Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/9172405
Abstract: Objectives To study the resorption of the herniated lumbar disc (RHLD) and its mechanism in the SD rats of lumbar intervertebral disc herniation treated with Hui medicine moxibustion (HMM). Methods Forty SD rats were randomly… read more here.
Keywords: hmm; lumbar; group; disc herniation ... See more keywords
vi-HMM: a novel HMM-based method for sequence variant identification in short-read data
Sign Up to like & getrecommendations! Published in 2019 at "Human Genomics"
DOI: 10.1186/s40246-019-0194-6
Abstract: BackgroundAccurate and reliable identification of sequence variants, including single nucleotide polymorphisms (SNPs) and insertion-deletion polymorphisms (INDELs), plays a fundamental role in next-generation sequencing (NGS) applications. Existing methods for calling these variants often make simplified assumptions… read more here.
Keywords: short read; hmm; hmm based; based method ... See more keywords
RVDB-prot, a reference viral protein database and its HMM profiles.
Sign Up to like & getrecommendations! Published in 2019 at "F1000Research"
DOI: 10.12688/f1000research.18776.1
Abstract: We present RVDB-prot, a database corresponding to the protein equivalent of the nucleic acid reference virus database RVDB. Protein databases can be helpful to perform more sensitive protein sequence comparisons. Similarly to its homologous public… read more here.
Keywords: protein; hmm; reference; rvdb prot ... See more keywords
Hidden Markov Modeling with HMMTeacher
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009703
Abstract: Is it possible to learn and create a first Hidden Markov Model (HMM) without programming skills or understanding the algorithms in detail? In this concise tutorial, we present the HMM through the 2 general questions… read more here.
Keywords: hmm; modeling hmmteacher; hidden markov; markov modeling ... See more keywords
Waste level detection and HMM based collection scheduling of multiple bins
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0202092
Abstract: In this paper, an image-based waste collection scheduling involving a node with three waste bins is considered. First, the system locates the three bins and determines the waste level of each bin using four Laws… read more here.
Keywords: hmm; detection; waste; waste level ... See more keywords