Results 71 to 80 of about 7,896 (220)

Verification of a Fluid–Structure Interaction Model for Aortic Stenosis Through Comparison With In Vitro Experiments

open access: yesInternational Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 4, April 2026.
A patient‐specific Fluid–structure Interaction (FSI) model of aortic stenosis was verified against in vitro experiments using a mock‐loop circulatory system with patient‐specific calcified and non‐calcified valve models under varying flow conditions. The in vitro experiments were replicated in the FSI model.
Sabine Verstraeten   +9 more
wiley   +1 more source

Prediksi Harga Saham dengan Metode Unscented kalman Filter [PDF]

open access: yes, 2021
Pada zaman yang serba online ini masyarakat semakin menyadari pentingnya investasi. Salah satu instrument investasi yang banyak digunakan oleh masyarakat adalah saham. Saham merupakan bukti kepemilikan seseorang di sebuah perusahaan.
Safitri, Ardilla
core  

Polynomial Updates for the Unscented Kalman Filter

open access: yesCoRR
38 pages, 9 ...
Chiran Cherian, Simone Servadio
openaire   +2 more sources

Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin   +4 more
wiley   +1 more source

Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise

open access: yesIEEE Access, 2018
A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter (KF), and measurement update ...
Lijian Yin   +4 more
doaj   +1 more source

Unscented Kalman filter‐aided Gaussian sum filter

open access: yesIET Radar, Sonar & Navigation, 2015
A non‐linear filter is developed for continuous‐time systems with observations/measurements carried out in discrete‐time. The filter developed can approximate the a priori and a posteriori probability density function (pdf) with weighted Gaussian sums inside specific search regions.
Gokce, Murat, Kuzuoglu, Mustafa
openaire   +2 more sources

Unscented Kalman Filtering for Articulated Human Tracking [PDF]

open access: yes, 2011
We present an articulated tracking system working with data from a single narrow baseline stereo camera. The use of stereo data allows for some depth disambiguation, a common issue in articulated tracking, which in turn yields likelihoods that are practically unimodal.
Anders Boesen Lindbo Larsen   +2 more
openaire   +2 more sources

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

open access: yesFuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi   +5 more
wiley   +1 more source

Iterated square root unscented Kalman filter and its application in deep sea vehicle navigation [PDF]

open access: yes, 2015
It is of vital importance to develop a high accuracy and fast convergence algorithm in deep sea navigation system, since location is essential for the sake of scientific survey and safety in very hazard environment.
Liu B(刘本)   +6 more
core  

Degeneracy Sensing Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping with Dual‐Layer Resistant Odometry and Scan‐Context Loop‐Closure Detection Backend in Diverse Environments

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 3, March 2026.
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang   +4 more
wiley   +1 more source

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