Optimal Sequential Fusion Kalman Filter for Multi-Sensor Linear Systems with Noise Cross-Correlated. [PDF]
Sensors (Basel)Huang W, Wen C.
europepmc +1 more source
Development of the Kalman filter modification for the measuring complex of the aircraft for carrier landing [PDF]
, 2019 Lu Wang
openalex +1 more source
Methods in Ecology and Evolution, EarlyView.Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender +3 more
wiley +1 more source
Vehicle Sideslip Angle Estimation Using Deep Reinforcement Learning Combined with Unscented Kalman Filter. [PDF]
Sensors (Basel)Wu L, Wang W, Li P, Zhu Y.
europepmc +1 more source
Fractional Kalman filter algorithm for the states, parameters and order of fractional system estimation [PDF]
, 2006 Dominik Sierociuk, Andrzej Dzieliński
openalex
Methods in Ecology and Evolution, EarlyView.Abstract Capturing the high‐speed behaviour of nocturnal animals remains technically challenging because conventional video systems require intense illumination that disrupts natural activity. Event‐based vision sensors (EVS) overcome this constraint, yet their ecological uptake has been slow owing to a lack of software capable of analysing the sparse,
Yu Teshima +5 more
wiley +1 more source
An Improved Variational Bayesian-Based Adaptive Federated Kalman Filter for Multi-Sensor Integrated Navigation Systems. [PDF]
Sensors (Basel)Yan Y, Yang J.
europepmc +1 more source
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Intensive longitudinal data are often found to be non‐stationary, namely, showing changes in statistical properties, such as means and variance‐covariance structures, over time. One way to accommodate non‐stationarity is to specify key parameters that show over‐time changes as time‐varying parameters (TVPs). However, the nature and dynamics of
Meng Chen +2 more
wiley +1 more source
Adaptive Kalman Filter-Based UWB Location Tracking with Optimized DS-TWR in Workshop Non-Line-of-Sight Environments. [PDF]
Sensors (Basel)Wu J, Xiong Y, Li W, Xia W.
europepmc +1 more source
Diabetes, Obesity and Metabolism, EarlyView.Abstract Aims Mortality of patients with type 2 diabetes (T2D) after acute myocardial infarction (AMI) is tremendous and massively increased compared to non‐T2D individuals. The reasons are unclear. High‐density lipoprotein (HDL) conducts lipoprotection during AMI, leading to improved outcomes.
Jens Vogt +12 more
wiley +1 more source