Results 21 to 30 of about 128,009 (300)
Data-driven XGBoost-based filter for target tracking
The Journal of Engineering, 2019 In recent years, the data-driven approach has been introduced in the field of target tracking as a powerful tool developing the end-to-end mapping relationship between input features and outputs.
Bowen Zhai +4 more
doaj +1 more source
Estimation and control using sampling-based Bayesian reinforcement learning
IET Cyber-Physical Systems, 2019 Real-world autonomous systems operate under uncertainty about both their pose and dynamics. Autonomous control systems must simultaneously perform estimation and control tasks to maintain robustness to changing dynamics or modelling errors.
Patrick Slade +3 more
doaj +1 more source
Healthcare Technology Letters, 2020 Trauma brain injury (TBI) is the most common cause of death and disability in young adults. A method to determine the probability of survival (Ps) in trauma called iterative random comparison classification (IRCC) was developed and its performance was ...
Mohammed Salah +3 more
doaj +1 more source
Fast Globally Optimal Catalog Matching using MIQCP
The Astronomical Journal, 2023 We propose a novel exact method to solve the probabilistic catalog matching problem faster than previously possible. Our new approach uses mixed integer programming and introduces quadratic constraints to shrink the problem by multiple orders of ...
Jacob Feitelberg +2 more
doaj +1 more source
Variational Bayesian inference of linear state space models
The Journal of Engineering, 2019 This article studies a variational Bayesian method to fix the linear regression (LR) model of which regressors are Gaussian distributed with non-zero prior means, and then apply the method to the linear state space (LSS) model.
Chuanchao Pan +2 more
doaj +1 more source
Full polarisation ISAR imaging based on joint sparse Bayesian compressive sensing
The Journal of Engineering, 2019 This study proposes a joint sparse algorithm based on Bayesian compressive sensing to improve full polarisation inverse synthetic aperture radar (ISAR) imaging performance.
Yalong Gu +4 more
doaj +1 more source
A variable structure multi‐model maneuvering target tracking algorithm based on Monte Carlo learning
IET Radar, Sonar & Navigation, 2023 A well‐liked maneuvering target tracking algorithm is a variable structure multi‐model (VSMM). One of the crucial elements determining the tracking effect is the successful model set adaptation (MSA).
Han Shen‐tu +4 more
doaj +1 more source
Estimating rate of occurrence of rare events with empirical Bayes : a railway application [PDF]
, 2007 Classical approaches to estimating the rate of occurrence of events perform poorly when data are few. Maximum likelihood estimators result in overly optimistic point estimates of zero for situations where there have been no events.
Bedford, Tim +2 more
core +1 more source
Sparse-Bayesian-learning-based translational motion estimation of electromagnetic vortex imaging
The Journal of Engineering, 2019 The electromagnetic (EM) vortex imaging has been found to have a great potential application prospect in the imaging radar field. However, current studies focus on the motionless target, which seriously limits its application in practice.
Rui Li +5 more
doaj +1 more source
Cognitive target detection based on Bayesian approach in radar
The Journal of Engineering, 2019 Cognitive radar (CR), which uses a closed-loop feedback perception-action cycle system, aims to develop a higher level of intelligence. In this study, the authors develop an efficient Bayesian approach to target detection in CR.
Ning Ma +4 more
doaj +1 more source