A novel modelling paradigm for online diagnostics and prognostics for autonomous systems is presented. A model for the autonomous system being diagnosed is designed using a logic-based formalism. The model supports the run-time
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily caused ...
In the offshore industry, unmanned autonomous systems are expected to have a permanent role in futur...
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily caused ...
A novel modelling paradigm for online diagnostics and prognostics for autonomous systems is presente...
yesApplications of autonomous systems are becoming increasingly common across the field of engineere...
Autonomous systems have the potential to provide great benefit to society. However, they also pose p...
A computational system is called autonomous if it is able to make its own decisions, or take its ow...
Real‐world autonomous systems are expected to be increasingly deployed and operating in real‐world e...
YesThis article proposes an approach named SafeML II, which applies empirical cumulative distributio...
Autonomous Systems (AS) are becoming ubiquitous in our society. Some examples are autonomous vehicle...
The application of artificial intelligence (AI) and data-driven decision-making systems in autonomou...
The increasing use of Machine Learning (ML) components embedded in autonomous systems -- so-called L...
Autonomous systems increasingly use components that incorporate machine learning and other AI-based ...
In recent years, learning-based autonomous systems have emerged as a promising tool for automating m...
AbstractA computational system is called autonomous if it is able to make its own decisions, or take...
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily caused ...
In the offshore industry, unmanned autonomous systems are expected to have a permanent role in futur...
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily caused ...
A novel modelling paradigm for online diagnostics and prognostics for autonomous systems is presente...
yesApplications of autonomous systems are becoming increasingly common across the field of engineere...
Autonomous systems have the potential to provide great benefit to society. However, they also pose p...
A computational system is called autonomous if it is able to make its own decisions, or take its ow...
Real‐world autonomous systems are expected to be increasingly deployed and operating in real‐world e...
YesThis article proposes an approach named SafeML II, which applies empirical cumulative distributio...
Autonomous Systems (AS) are becoming ubiquitous in our society. Some examples are autonomous vehicle...
The application of artificial intelligence (AI) and data-driven decision-making systems in autonomou...
The increasing use of Machine Learning (ML) components embedded in autonomous systems -- so-called L...
Autonomous systems increasingly use components that incorporate machine learning and other AI-based ...
In recent years, learning-based autonomous systems have emerged as a promising tool for automating m...
AbstractA computational system is called autonomous if it is able to make its own decisions, or take...
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily caused ...
In the offshore industry, unmanned autonomous systems are expected to have a permanent role in futur...
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily caused ...