In this paper, we propose the Phy-DRL: a physics-model-regulated deep
re...
Deep reinforcement learning (DRL) has achieved tremendous success in man...
Purely data-driven deep neural networks (DNNs) applied to physical
engin...
As Autonomous Vehicle (AV) development has progressed, concerns regardin...
Perception of obstacles remains a critical safety concern for autonomous...
Object detection in state-of-the-art Autonomous Vehicles (AV) framework
...
Commonly used metrics for evaluation of object detection systems (precis...
Real-time systems have recently been shown to be vulnerable to timing
in...
Unmanned aerial vehicles (UAVs) suffer from sensor drifts in GPS denied
...
Improving the effectiveness and safety of patient care is the ultimate
o...
This paper considers a resilient state estimation framework for unmanned...
The Unmanned aerial vehicles (UAVs) sector is fast-expanding. Protection...
Improving effectiveness and safety of patient care is an ultimate object...
Improving patient care safety is an ultimate objective for medical
cyber...
Improving patient care safety is an ultimate objective for medical
cyber...
Securing cyber-physical systems (CPS) against malicious attacks is of
pa...
Model-based development is a widely-used method to describe complex syst...
The ultimate objective of medical cyber-physical systems is to enhance t...
Race condition is a timing sensitive problem. A significant source of ti...