Results 41 to 50 of about 7,844,010 (281)

Optimal Kalman Filtering for a Class of State Delay Systems with Randomly Multiple Sensor Delays

open access: yesAbstract and Applied Analysis, 2014
The optimal Kalman filtering problem is investigated for a class of discrete state delay stochastic systems with randomly multiple sensor delays. The phenomenon of measurement delay occurs in a random way and the delay rate for each sensor is described ...
Dongyan Chen, Long Xu
doaj   +1 more source

Optimal Filtering for Time-Varying Stochastic System With Delay and Multiplicative Noise

open access: yesIEEE Access, 2019
This paper pays attention to the problem of optimal filtering for linear continuous time-varying It ô stochastic system with multiple delayed measurements and multiplicative noise.
Yawen Sun   +3 more
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

Improving binary classification using filtering based on k-NN proximity graphs

open access: yesJournal of Big Data, 2020
One of the ways of increasing recognition ability in classification problem is removing outlier entries as well as redundant and unnecessary features from training set. Filtering and feature selection can have large impact on classifier accuracy and area
Maher Ala’raj   +2 more
doaj   +1 more source

Protocol for quantifying miRNA trafficking across the endosomal membrane

open access: yesFEBS Open Bio, EarlyView.
An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh   +2 more
wiley   +1 more source

Improving Cancer Gene Expression Data Quality through a TCGA Data-Driven Evaluation of Identifier Filtering

open access: yesCancer Informatics, 2015
Data quality is a recognized problem for high-throughput genomics platforms, as evinced by the proliferation of methods attempting to filter out lower quality data points.
Kevin K. Mcdade   +2 more
doaj   +1 more source

A convex optimization method to solve a filter design problem

open access: yesJournal of Computational and Applied Mathematics, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thanh Hieu Le, Marc Van Barel
openaire   +2 more sources

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach   +23 more
wiley   +1 more source

Joint fundamental frequency and order estimation using optimal filtering

open access: yesEURASIP Journal on Advances in Signal Processing, 2011
In this paper, the problem of jointly estimating the number of harmonics and the fundamental frequency of periodic signals is considered. We show how this problem can be solved using a number of methods that either are or can be interpreted as filtering ...
Jakobsson Andreas   +3 more
doaj  

A PDE-BASED ADAPTIVE KERNEL METHOD FOR SOLVING OPTIMAL FILTERING PROBLEMS

open access: yesJournal of Machine Learning for Modeling and Computing, 2022
In this paper, we introduce an adaptive kernel method for solving the optimal filtering problem. The computational framework that we adopt is the Bayesian filter, in which we recursively generate an optimal estimate for the state of a target stochastic dynamical system based on partial noisy observational data.
Zezhong Zhang   +2 more
openaire   +3 more sources

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