Results 41 to 50 of about 662,175 (342)
A Box Regularized Particle Filter for state estimation with severely ambiguous and non-linear measurements [PDF]
, 2019 International audienceThe first stage in any control system is to be able to accurately estimate the system's state. However, some types of measurements are ambiguous (non-injective) in terms of state. Existing algorithms for such problems, such as Monte
Brusey, James +4 more
core +4 more sources
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Iterative Truncated Unscented Particle Filter
Information, 2020 The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems.
Yanbo Wang +3 more
doaj +1 more source
Interacting Multiple Model-Feedback Particle Filter for Stochastic Hybrid Systems
, 2013 In this paper, a novel feedback control-based particle filter algorithm for the continuous-time stochastic hybrid system estimation problem is presented.
Blom, Henk A. P. +2 more
core +1 more source
FEBS Letters, EarlyView.Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source
Sensors, 2018 In this paper, a novel robust particle filter is proposed to address the measurement outliers occurring in the multiple autonomous underwater vehicles (AUVs) based cooperative navigation (CN).
Ying Fan +4 more
doaj +1 more source
Multilevel bootstrap particle filter
Bernoulli, 2023 We consider situations where the applicability of sequential Monte Carlo particle filters is compromised due to the expensive evaluation of the particle weights. To alleviate this problem, we propose a new particle filter algorithm based on the multilevel approach.
Heine, Kari, Burrows, Daniel
openaire +2 more sources
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
FEBS Letters, EarlyView.The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source
Evaluation of Particles Removal Efficiency in Rapid Sand Filters by Changing Particle Concentration and Media Grain Size [PDF]
آب و فاضلاب, 2009 Removal of particles by filter is a complex water treatment process. Several factors are involved that include shape and size of filter grains, particle concentration, filtration velocity, and filter depth.
Hossein Banejad +3 more
doaj
Two Stage Particle Filter for Nonlinear Bayesian Estimation
IEEE Access, 2018 The past several decades have witnessed the successful application of sequential Monte Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in solving different kinds of nonlinear Bayesian estimation problems ...
Fasheng Wang +3 more
doaj +1 more source