Quality of Speech Reproduction Using Stochastic Digital Systems of Information Transfer with its Statistical Compaction
Sign Up to like & getrecommendations! Published in 2017 at "Russian Physics Journal"
DOI: 10.1007/s11182-017-1059-x
Abstract: Quality of oral speech reproduction using stochastic digital systems of information transfer at its statistical compaction is analyzed (on the example of Russian and Kazakh speeches) with the ratio of the speech signal power to… read more here.
Keywords: quality; priority; speech; stochastic digital ... See more keywords
Necessary demand and extra demand of public utility product: identification using the stochastic frontier model
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Industrial and Business Economics"
DOI: 10.1007/s40812-018-0101-5
Abstract: Our purpose is to empirically investigate necessary and extra demand of a consumer for public utility product. Our paper makes three contributions. First, using the stochastic frontier model, we identify necessary and extra demand in… read more here.
Keywords: necessary demand; extra demand; public utility; using stochastic ... See more keywords
Modeling soft core-shell colloids using stochastic hard collision dynamics
Sign Up to like & getrecommendations! Published in 2018 at "Chemical Physics Letters"
DOI: 10.1016/j.cplett.2018.08.032
Abstract: Abstract The equilibrium structure and thermodynamic behavior of a soft matter suspension of hard-core soft-shell (HCSS) colloids have been modeled using stochastic hard collision (SHC) dynamics [Craven et al., J. Chem. Phys. 2013, 138, 244901].… read more here.
Keywords: stochastic hard; using stochastic; hard collision; shell ... See more keywords
Model Error Modelling using a Stochastic Embedding approach with Gaussian Mixture Models for FIR systems
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.841
Abstract: Abstract In this paper a Maximum Likelihood estimation algorithm for error-model modelling using a stochastic embedding approach is developed. The error-model distribution is approximated by a finite Gaussian mixture. An Expectation-Maximization based algorithm is proposed… read more here.
Keywords: model; embedding approach; using stochastic; error ... See more keywords
A note on regime-switching Kolmogorov's forward and backward equations using stochastic flows
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2017.12.019
Abstract: Abstract Using stochastic flows, probabilistic solutions of Markovian, regime-switching, forward and backward Kolmogorov's equations are discussed. These equations may be related to some pricing equations in mathematical finance. Their solutions are derived by differentiating a… read more here.
Keywords: stochastic flows; regime switching; forward backward; using stochastic ... See more keywords
Efficient reconstruction of directed networks from noisy dynamics using stochastic force inference.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.034302
Abstract: We consider coupled network dynamics under uncorrelated noises that fluctuate about the noise-free long-time asymptotic state. Our goal is to reconstruct the directed network only from the time-series data of the dynamics of the nodes.… read more here.
Keywords: force inference; stochastic force; reconstruction; using stochastic ... See more keywords
Abstract 135: Elucidating tumor evolution in pediatric cancers using stochastic models and mutation accumulation experiments
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-135
Abstract: Ontology-based approaches have been utilized for identifying cancer genes. However, among the thousands of mutations in pediatric cancer genes, accurate prediction of driver genes is one of the biggest challenges. A binary logistic regression model… read more here.
Keywords: cancer; stochastic models; using stochastic; accumulation experiments ... See more keywords
On the coexistence of broadcast and unicast in hybrid networks for the transmission of video services using stochastic geometry
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-020-01670-z
Abstract: Following the increasing growth in the demand on mobile TV, hybrid broadcast/broadband networks emerged as a suitable approach to overtake the challenges introduced by each network separately in order to enhance users’ experience. This paper… read more here.
Keywords: network; stochastic geometry; geometry; using stochastic ... See more keywords
Detecting drought regulators using stochastic inference in Bayesian networks
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DOI: 10.1371/journal.pone.0255486
Abstract: Drought is a natural hazard that affects crops by inducing water stress. Water stress, induced by drought accounts for more loss in crop yield than all the other causes combined. With the increasing frequency and… read more here.
Keywords: drought; bayesian networks; drought resistant; model ... See more keywords
Seismic Risk Assessment Using Stochastic Nonlinear Models
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DOI: 10.3390/su12041308
Abstract: The basic input when seismic risk is estimated in urban environments is the expected physical damage level of buildings. The vulnerability index and capacity spectrum-based methods are the tools that have been used most to… read more here.
Keywords: risk; risk assessment; assessment using; method ... See more keywords