Results 71 to 80 of about 204,835 (237)
A stochastic network with mobile users in heavy traffic
, 2013 We consider a stochastic network with mobile users in a heavy-traffic regime. We derive the scaling limit of the multi-dimensional queue length process and prove a form of spatial state space collapse.
A. Ganesh +20 more
core +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
Advanced Intelligent Systems, EarlyView.This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
A Note on the Pseudo-Spectra and the Pseudo-Covariance Generating Functions of ARMA Processes [PDF]
Although the spectral analysis of stationary stochastic processes has solid mathematical foundations, this is not the case for non-stationary stochastic processes.
Andrés Bujosa +2 more
core
Equilibrium for fragmentation with immigration
, 2004 This paper introduces stochastic processes that describe the evolution of systems of particles in which particles immigrate according to a Poisson measure and split according to a self-similar fragmentation.
Bénédicte Haas +3 more
core +3 more sources
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Degradation Modeling Using Stochastic Filtering for Systems under Imperfect Maintenance
Chemical Engineering Transactions, 2013 Wiener process with a linear drift has been extensively studied in degradation modeling, mainly due to the existence of an analytical expression of the first hitting time distribution which permits feasible mathematical developments.
M. Zhang, M. Xie
doaj +1 more source
Two stochastic models for simulation of correlated random processes [PDF]
Mathematical models for simulation of correlated stochastic processes with stationary Gaussian ...
Hoshiya, M., Tieleman, H. W.
core +1 more source
Characteristic Function of Time-Inhomogeneous L\'evy-Driven Ornstein-Uhlenbeck Processes
, 2016 Distributional properties -including Laplace transforms- of integrals of Markov processes received a lot of attention in the literature. In this paper, we complete existing results in several ways.
Vrins, Frédéric
core +1 more source
Advanced Intelligent Systems, EarlyView.A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The task of interval prediction of non-stationary processes of stochastic differential equations described by models is considered. Predictability of such processes is defined.
A. V. Ausiannikau
doaj