Extended Kalman Filter-Based Vehicle Tracking Using Uniform Planar Array for Vehicle Platoon Systems. [PDF]
Sensors (Basel)Song J, Hyun SH.
europepmc +1 more source
Journal of Applied Clinical Medical Physics, Volume 27, Issue 11, November 2026.Abstract Background Varian machine performance check (MPC) is a manufacturer integrated quality control system included as standard for TrueBeam and Halcyon linear accelerators (linacs) to assess performance using a broad range of geometric and beam tests.
Lauren May +12 more
wiley +1 more source
Real-Time Speed Estimation for an Induction Motor: An Automated Tuning of an Extended Kalman Filter Using Voltage-Current Sensors. [PDF]
Sensors (Basel)Miloud I +4 more
europepmc +1 more source
The Canadian Journal of Chemical Engineering, Volume 104, Issue 11, Page 5854-5874, November 2026.Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley +1 more source
Real-time video surveillance on highways using combination of extended Kalman Filter and deep reinforcement learning. [PDF]
HeliyonFu L, Zhang Q, Tian S.
europepmc +1 more source
Uncertainty‐aware hybrid model for reliable navigation guidance in prostate biopsy
Medical Physics, Volume 53, Issue 11, November 2026.Abstract Background Prostate biopsy – performed under ultrasound (US) guidance ‐ is the only confirmatory procedure for diagnosing prostate cancer. If several systems aiming at improving the accuracy of tissue sampling for histopathological analysis exist, they often fail to adequately account for patient / tissue motion and deformation during the ...
Chloé Soormally +3 more
wiley +1 more source
3D Indoor Position Estimation Based on a UDU Factorization Extended Kalman Filter Structure Using Beacon Distance and Inertial Measurement Unit Data. [PDF]
Sensors (Basel)Bodrumlu T, Caliskan F.
europepmc +1 more source
Extending reliability to intensive longitudinal data with the Kalman filter
British Journal of Mathematical and Statistical Psychology, Volume 79, Issue 3, Page 493-512, November 2026.Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
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Few Shot Learning for Flame State Monitoring From Limited Visible and Infrared Images
Expert Systems, Volume 43, Issue 11, November 2026.ABSTRACT The success of machine learning in image‐based combustion monitoring requires big data, which is costly, and even impossible in industrial applications. To address this, we introduce metric‐based few shot learning for combustion monitoring and classification, to the best of our knowledge, for the first time.
Ruiyuan Kang +2 more
wiley +1 more source
Robust CDF‐Filtering of a Location Parameter
Journal of Time Series Analysis, Volume 47, Issue 6, Page 1113-1123, November 2026.ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source