Results 41 to 50 of about 18,944,392 (366)

The System of Facial Recognition in the Infrared Range

Communications, 2020
In this paper, a new approach is introduced upgrading the complex object recognizing monitoring system up to the image processing system capable of operating both in the visible and the infrared wavelength ranges.
Daniil A. Loktev, Alexey A. Loktev, Alexandra V. Salnikova   +2 more
doaj   +1 more source

Stochastic processes and conformal invariance

, 2002
We discuss a one-dimensional model of a fluctuating interface with a dynamic exponent $z=1$. The events that occur are adsorption, which is local, and desorption which is non-local and may take place over regions of the order of the system size.
A. Ben-Hur, A. Vespignani, B. Wieland, Bernard Nienhuis, C. Tebaldi, D. Dhar, E. Lieb, E.H. Hinrichsen, F.C. Alcaraz, H.M. Koduvely, I.I. Kogam, I.I. Kogan, J.M. van den Broeck, Jan de Gier, M. Paczuski, M.T. Batchelor, M.T. Batchelor, N. Read, P. Bak, P. Bak, P.A. Pearce, P.J. Forrester, P.P. Martin, Paul A. Pearce, S.V. Buldyrev, U. Alon, V. Pasquier, V.E. Korepin, Vladimir Rittenberg   +28 more
core   +2 more sources

Combinatorial stochastic processes

Stochastic Processes and their Applications, 1994
Well-known asymptotic results for sums of independent stochastic processes are extended to processes \(S = \sum^ n_{i = 1} \varphi_{i \pi (i)}\), where \(\varphi = (\varphi_{ij})_{1 \leq i,j \leq n}\) is a collection of independent stochastic processes \(\varphi_{ij}\) on some set \(\tau\), and \(\pi\) is a random permutation of \(\{1,2, \dots, n ...
openaire   +3 more sources

Estimation for spatial semi-functional partial linear regression model with missing response at random

Demonstratio Mathematica
The aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR).
Benchikh Tawfik, Almanjahie Ibrahim M., Fetitah Omar, Attouch Mohammed Kadi   +3 more
doaj   +1 more source

Strong uniform consistency rates of conditional quantile estimation in the single functional index model under random censorship

Dependence Modeling, 2018
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional distribution in the censorship model when the sample is considered as an -mixing sequence.
Kadiri Nadia, Rabhi Abbes, Bouchentouf Amina Angelika   +2 more
doaj   +1 more source

Stochastic foundations of undulatory transport phenomena: Generalized Poisson-Kac processes - Part I Basic theory

, 2016
This article introduces the notion of Generalized Poisson-Kac (GPK) processes which generalize the class of "telegrapher's noise dynamics" introduced by Marc Kac in 1974, usingPoissonian stochastic perturbations.
Brasiello, Antonio, Crescitelli, Silvestro, Giona, Massimiliano   +2 more
core   +1 more source

Stochastic equations, flows and measure-valued processes [PDF]

, 2012
We first prove some general results on pathwise uniqueness, comparison property and existence of nonnegative strong solutions of stochastic equations driven by white noises and Poisson random measures.
Dawson, Donald A., Li, Zenghu
core   +2 more sources

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

Quantum Stochastic Calculus and Quantum Gaussian Processes [PDF]

, 2014
In this lecture we present a brief outline of boson Fock space stochastic calculus based on the creation, conservation and annihilation operators of free field theory, as given in the 1984 paper of Hudson and Parthasarathy.
Parthasarathy, K. R.
core   +2 more sources

A review of entropy measures for uncertainty quantification of stochastic processes

Advances in Mechanical Engineering, 2019
Entropy is originally introduced to explain the inclination of intensity of heat, pressure, and density to gradually disappear over time. Based on the concept of entropy, the Second Law of Thermodynamics, which states that the entropy of an isolated ...
Alireza Namdari, Zhaojun Li
semanticscholar   +1 more source