Results 61 to 70 of about 18,880 (196)

Foucault and literature (Years 1962 - 1970) [PDF]

open access: yesSlovenska Literatura, 2011
The article Foucault and literature focuses on relationship between philosophy and literature, referring to a special approach to this relation which can be found in the early works of Michel Foucault (from 1962 to 1970).
Marek Debnár
doaj  

The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems

open access: yes, 2015
Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a ...
Bohg, Jeannette   +4 more
core   +1 more source

Student’s t‐Kernel‐Based Graph Signals Maximum Correntropy Unscented Kalman Filter Under Hybrid Cyberattacks

open access: yesIET Signal Processing, Volume 2026, Issue 1, 2026.
The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley   +1 more source

Jdn E. Bor - Michal PovaZan: A Literary lnterview [PDF]

open access: yesSlovenska Literatura, 2015
The interview is a part of the yet unpublished book of interviews carried out by J. E. Bor in the year 1944 with several significant representatives of the literary life in contemporary Slovakia (J. Smrek, M. Chorváth, M. Bakoš, J. Silan). The subject of
Dušan Teplan
doaj  

Two-layer particle filter for multiple target detection and tracking [PDF]

open access: yes, 2012
This paper deals with the detection and tracking of an unknown number of targets using a Bayesian hierarchical model with target labels. To approximate the posterior probability density function, we develop a two-layer particle filter.
García Fernández, Ángel Froilán   +2 more
core   +1 more source

Comparative Analysis to Determine the State of Charge of a Lithium‐Ion Cell

open access: yesInternational Journal of Energy Research, Volume 2026, Issue 1, 2026.
Accurate state of charge (SOC) estimation remains a challenge in lithium‐ion battery management systems (BMSs) due to the cells’ complex, nonlinear internal dynamics, and their high sensitivity to operating conditions. While most existing data‐driven studies rely on a core input configuration of voltage (V), current (I), and temperature (T), these ...
Hafsa Khayrane   +5 more
wiley   +1 more source

Robust Gaussian Filtering using a Pseudo Measurement

open access: yes, 2016
Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette   +6 more
core   +1 more source

A Novel Weighted Unscented Kalman Filter for Dynamic Load Identification

open access: yesStructural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
To address the limitations of traditional unscented Kalman filter (UKF)‐based algorithms—which typically require either additional displacement measurements or iterative optimization for load identification—this study proposes a fast and convenient load excitation identification algorithm.
Yanzhe Zhang   +4 more
wiley   +1 more source

Adaptive Unscented Kalman Filter for Target Tracking with Unknown Time-Varying Noise Covariance

open access: yesSensors, 2019
The unscented Kalman filter (UKF) is widely used to address the nonlinear problems in target tracking. However, this standard UKF shows unstable performance whenever the noise covariance mismatches.
Baoshuang Ge   +4 more
doaj   +1 more source

Inference in Nonlinear Systems with Unscented Kalman Filters [PDF]

open access: yes, 2016
An increasing number of scientific disciplines, most notably the life sciences and health care, have become more quantitative, describing complex systems with coupled nonlinear di↵erential equations.
Giurghita, Diana, Husmeier, Dirk
core  

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