78 citations · 510 across the 71 of their papers we have counts for
8 papers · 1 filter
Efficient Out-of-Distribution Detection Using Latent Space of -VAE for Cyber-Physical Systems
Shreyas Ramakrishna, Zahra Rahiminasab, Gabor Karsai +2
Deep Neural Networks are actively being used in the design of autonomous Cyber-Physical Systems (CPSs). The advantage of these models is their ability to handle high-dimensional st…
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications
Yeli Feng, Daniel Jun Xian Ng, Arvind Easwaran
Uncertainties in machine learning are a significant roadblock for its application in safety-critical cyber-physical systems (CPS). One source of uncertainty arises from distributio…
WiP Abstract : Robust Out-of-distribution Motion Detection and Localization in Autonomous CPS
Yeli Feng, Arvind Easwaran
Highly complex deep learning models are increasingly integrated into modern cyber-physical systems (CPS), many of which have strict safety requirements. One problem arising from th…
Embedded out-of-distribution detection on an autonomous robot platform
Michael Yuhas, Yeli Feng, Daniel Jun Xian Ng +2
Machine learning (ML) is actively finding its way into modern cyber-physical systems (CPS), many of which are safety-critical real-time systems. It is well known that ML outputs ar…
Monitoring Cumulative Cost Properties
Omar Al-Bataineh, Daniel Jun Xian Ng, Arvind Easwaran
This paper considers the problem of decentralized monitoring of a class of non-functional properties (NFPs) with quantitative operators, namely cumulative cost properties. The dece…
Challenges in Digital Twin Development for Cyber-Physical Production Systems
Heejong Park, Arvind Easwaran, Sidharta Andalam
The recent advancement of information and communication technology makes digitalisation of an entire manufacturing shop-floor possible where physical processes are tightly intertwi…