Results 191 to 200 of about 2,029,550 (291)
Estimating the Common Output Cycle in Australia
ABSTRACT Background/Objective This study develops a statistical measure of Australia's common output cycle and investigates the extent to which cyclical fluctuations are shared across industries. It also evaluates whether the common output cycle provides useful information for forecasting inflation.
Luke Hartigan
wiley +1 more source
Extended Kalman Filter-Based Visual Odometry in Dynamic Environments Using Modified 1-Point RANSAC. [PDF]
Lee J, Kang J.
europepmc +1 more source
Economic indicators inform the assessment of economic slack for central banks, yet traditional output gap estimates are often limited by the substantial reporting lags of quarterly GDP. This paper extends a mixed‐frequency Bayesian vector autoregressive (MF‐BVAR) framework to the Australian economy by applying a multivariate Beveridge–Nelson (BN ...
Gilliane De Gorostiza‐Roudnitski
wiley +1 more source
Research on Multi-Sensor Fusion Localization for Forklift AGV Based on Adaptive Weight Extended Kalman Filter. [PDF]
Wang Q +5 more
europepmc +1 more source
ABSTRACT Background The causes of late onset Alzheimer disease (LOAD) are not known but several recent lines of evidence implicate the adaptive immune system. Objective To characterize the adaptive immune system among Midwestern Amish participating in longitudinal studies of aging.
Lauren A. Cruz +18 more
wiley +1 more source
Student's <i>t</i>-Distributed Extended Kalman Filter with Switch Factor for UWB Localization Under Colored Measurement Noise. [PDF]
Xu Y, Yin H, Yang M, Deng L, Sun M.
europepmc +1 more source
The current obesity drug landscape, dominated by GLP‐1 receptor agonists and emerging multi‐agonist therapies, has reinforced that long‐term weight loss is achieved in large part through central mechanisms that suppress appetite and reshape energy balance.
Ines Martinez‐Corral +3 more
wiley +1 more source
Improved noise reduction for nonlinear PMDC motor dead zone and friction model using variants of extended Kalman filter with practical validation. [PDF]
Haider S +4 more
europepmc +1 more source
L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel +6 more
wiley +1 more source
Adaptive Distributed Student's T Extended Kalman Filter Employing Allan Variance for UWB Localization. [PDF]
Gao Y +6 more
europepmc +1 more source

