Results 81 to 90 of about 1,512,106 (277)
Particle filter with swarm move for optimization [PDF]
, 2008 Copyright @ Springer-Verlag Berlin Heidelberg 2008.We propose a novel generalized algorithmic framework to utilize particle filter for optimization incorporated with the swarm move method in particle swarm optimization (PSO).
Yang, S +11 more
core +1 more source
上海师范大学学报. 自然科学版, 2013 Particle filtering can be used to handle the non－liner and non－Gaussian problems,while the sequential importance resampling (SIR) algorithm can be better to solve the degeneracy phenomenon in particle filtering and be applied in the semiblind estimation ...
SHI Danfeng, ZHANG Jing
doaj
Improved Parallel Resampling Methods for Particle Filtering
IEEE Access, 2019 Particle filter techniques are common methods used to estimate the evolving state of nonlinear, non-Gaussian time-variant systems by utilizing a periodic sequence of noisy measurements.
Matthew A. Nicely, B. Earl Wells
doaj +1 more source
, 2015 The robust estimation of dynamically changing features, such as the position of prey, is one of the hallmarks of perception. On an abstract, algorithmic level, nonlinear Bayesian filtering, i.e. the estimation of temporally changing signals based on the history of observations, provides a mathematical framework for dynamic perception in real time ...
Kutschireiter, Anna +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley +1 more source
Particle smoothing techniques with turbo principle for MIMO systems [PDF]
, 2003 We address the problem of space-time communications in the context where the turbo principle is used in order to improve the robustness of the transmission.
Piechocki, RJ, Andrieu, C, McGeehan, JP
core
Parallelized particle filtering for freeway traffic state tracking [PDF]
, 2007 We consider parallelized particle filters for state tracking (estimation) of freeway traffic networks. Particle filters can accurately solve the state estimation problem for general nonlinear systems with non-Gaussian noises.
Lendek, Z. +6 more
core +4 more sources
Molecular Oncology, EarlyView.Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez +5 more
wiley +1 more source
Molecular Oncology, EarlyView.We established the avian chorioallantoic membrane (CAM) assay as a scalable in vivo model for studying circulating tumor cells (CTCs). Human gastrointestinal tumors spontaneously released genetically validated CTCs that were detected across multiple platforms, demonstrating that the CAM model provides an accessible tool for investigating early cancer ...
Dennis Roth +17 more
wiley +1 more source
Stochastic Definition of State-Space Equation for Particle Filtering Algorithms
Chemical Engineering Transactions, 2013 Particle Filtering is a nonlinear and non-Gaussian model-based Bayesian Filtering algorithm based on Monte Carlo Sampling techniques. This filtering methodology can be used to increase the reliability and the availability of the monitored system ...
M. Corbetta +3 more
doaj +1 more source