Model predictive control with adaptive Kalman filter for premixed turbocharged natural gas engine. [PDF]
Xiong W, Gong Q, Huang S, Ye J, Xu J.
europepmc +1 more source
Drew Rothrock's Fundamental Contributions to Arctic Science
Abstract David Andrew (Drew) Rothrock III lived during a period of vigorous scientific research in the Earth Sciences, from the International Geophysical Year to the era of satellites and high‐speed computer modeling. Drew made fundamental contributions to Arctic science, helping to lay the theoretical foundations for modeling the movement and ...
Harry L. Stern +4 more
wiley +1 more source
Safe-RTSKF: A Safety-Constrained Recursive Two-Stage Kalman Filter for Robust Sensor State Estimation in Strongly Nonlinear Systems. [PDF]
Lin Y +6 more
europepmc +1 more source
BART Streams: Real‐Time Reconstruction Using a Modular Framework for Pipeline Processing
ABSTRACT Purpose To create modular solutions for interactive real‐time MRI using reconstruction algorithms implemented in BART. Methods A new protocol for streaming of multidimensional arrays is presented and integrated into BART. The new functionality is demonstrated using examples for cardiac interactive real‐time MRI based on radial FLASH, where ...
Philip Schaten +4 more
wiley +1 more source
Editorial Note: Research on improving the ranging accuracy of ships with stereo vision through Kalman filter optimization. [PDF]
PLOS One Editors.
europepmc +1 more source
The Impact of Uncertainty on Forecasting the US Economy
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley +1 more source
A Deep Learning-Enhanced Adaptive Kalman Filter with Multi-Scale Temporal Attention for Airborne Gravity Denoising. [PDF]
Li L, Liu J, Ma G, Jiang Z.
europepmc +1 more source
Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley +1 more source
Research on the Control Algorithm for a Brushless DC Motor Based on an Adaptive Extended Kalman Filter. [PDF]
Jinwu T +5 more
europepmc +1 more source

