Results 91 to 100 of about 61,960 (301)
To develop and demonstrate accurate indoor pedestrian navigation, we implemented a flexible location framework which is able to use various sensors as positioning sources.
Khider, Mohammed +4 more
core
Monte Carlo filtering of piecewise deterministic processes [PDF]
We present efficient Monte Carlo algorithms for performing Bayesian inference in a broad class of models: those in which the distributions of interest may be represented by time marginals of continuous-time jump processes conditional on a realisation of
Godsill, S +5 more
core +1 more source
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a logical formula that describes a set of states.
Zettlemoyer, Luke S. +2 more
openaire +4 more sources
Modelling stochastic volatility with leverage and jumps: a simulated maximum likelihood approach via particle filtering [PDF]
In this paper we provide a unified methodology in order to conduct likelihood-based inference on the unknown parameters of a general class of discrete-time stochastic volatility models, characterized by both a leverage effect and jumps in returns.
Sheheryar Malik +3 more
core
Robust INS/GPS sensor fusion for UAV localization using SDRE nonlinear filtering [PDF]
For publication in IEEE Sensors JournalThe aim of this paper is to present a new INS/GPS sensor fusion scheme, based on State-Dependent Riccati Equation (SDRE) nonlinear filtering, for Unmanned Aerial Vehicle (UAV) localization problem.
Aouf, Nabil, Aouf, N., Nemra, A.
core +1 more source
An Improved Sequential Smoothing Particle Filtering Method
In order to cope with the challenges of non-cooperative targets such as stealth targets to modern radar, especially when traditional threshold detection and tracking methods can hardly detect fast-moving stealth targets, technological innovation has long
Cao Shijie
doaj +1 more source
The crystal structure of Borrelia burgdorferi nicotinamidase (PncA/BBE22) reveals the correct full‐length protein initiated from a non‐canonical AUU start codon. The structure validates previous biochemical findings and resolves a long‐standing annotation error, demonstrating that the truncated database sequence is structurally incompatible with the ...
Kalvis Brangulis
wiley +1 more source
Covariance Tracking via Geometric Particle Filtering
Region covariance descriptor recently proposedhas has been approved robust and elegant to describe a region of interest, which has been applied to visual tracking.
Liu YP(刘云鹏) +2 more
core
Identification of nonlinear lateral flow immunoassay state-space models via particle filter approach
This is the post-print of the Article. The official published version can be accessed from the link below - Copyright @ 2012 IEEEIn this paper, the particle filtering approach is used, together with the kernel smoothing method, to identify the state ...
Zidong Wang +9 more
core +1 more source

