Comparison of computational prognostic methods for complex systems under dynamic regimes: a review of perspectives
O Bektas, J Marshall, JA Jones - Archives of Computational Methods in …, 2020 - Springer
Complex systems are expected to play a key role in the progress of Prognostics Health
Management but the breadth of technologies that will highlight gaps in the dynamic regimes …
Management but the breadth of technologies that will highlight gaps in the dynamic regimes …
Fusion of magnetic and visual sensors for indoor localization: Infrastructure-free and more effective
Accurate and infrastructure-free indoor positioning can be very useful in a variety of
applications. However, most existing approaches (eg, WiFi and infrared-based methods) for …
applications. However, most existing approaches (eg, WiFi and infrared-based methods) for …
Personalized incentives for promoting sustainable travel behaviors
We develop a personalized system to modify individual travel behaviors by offering
personalized incentives. Individual preferences are learned to provide personalized …
personalized incentives. Individual preferences are learned to provide personalized …
Development of an embedded road boundary detection system based on deep learning
The ability to sense the surrounding environment is an important developing technology in
the field of automated vehicles. Lane line detection could determine a vehicle's travelable …
the field of automated vehicles. Lane line detection could determine a vehicle's travelable …
Developing an on-road object detection system using monovision and radar fusion
In this study, a millimeter-wave (MMW) radar and an onboard camera are used to develop a
sensor fusion algorithm for a forward collision warning system. This study proposed …
sensor fusion algorithm for a forward collision warning system. This study proposed …
Simulation study of the particle filter and the EKF for state estimation of a large-scale DAE-system with multi-rate sampling
D Haßkerl, M Arshad, R Hashemi, S Subramanian… - IFAC-PapersOnLine, 2016 - Elsevier
In the present contribution we study the application of the Particle Filter (PF) and of the
Extended Kalman Filter (EKF) incorporating measurements at different sampling rates for the …
Extended Kalman Filter (EKF) incorporating measurements at different sampling rates for the …
Enhanced particle-filtering framework for vessel segmentation and tracking
Background and Objectives A robust vessel segmentation and tracking method based on a
particle-filtering framework is proposed to cope with increasing demand for a method that …
particle-filtering framework is proposed to cope with increasing demand for a method that …
Privacy performance of MIMO dual-functional radar-communications with internal adversary
IWG da Silva, DPM Osorio… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The co-design of radar sensing and communications in dual-functional radar communication
systems brings promising advantages for next generation wireless networks by providing …
systems brings promising advantages for next generation wireless networks by providing …
Advanced diagnostics and anomaly detection for railroad safety applications: Using a wireless, IoT-enabled measurement system
DL Goodman, J Hofmeister… - 2015 IEEE …, 2015 - ieeexplore.ieee.org
Accidents involving trains have been attributed to degraded track and rolling stock.
Detection of anomalies that indicate degraded condition is critical. In this paper we present …
Detection of anomalies that indicate degraded condition is critical. In this paper we present …
An adaptive data filtering model for remaining useful life estimation
O Bektas - 2018 - wrap.warwick.ac.uk
The field of Prognostics and Health Management is becoming ever more important in the
modern maintenance era, with advanced techniques of automation and mechanisation …
modern maintenance era, with advanced techniques of automation and mechanisation …