Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zahra Rahiminasab"'
Publikováno v:
ACM Transactions on Cyber-Physical Systems. 6:1-34
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 state-space and learn compact surrogate representations of the operation
Publikováno v:
Proceedings of the Workshop on Design Automation for CPS and IoT.
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 are not reliable when testing data are novel with regards to model train
Publikováno v:
EMSOFT
Perception-based deep neural networks used in Cyber Physical Systems are known to fail when faced with inputs that are out-of-distribution (ODD). ODD detection is a complex problem as we need to first identify the shift in the test data from the trai
Publikováno v:
SP Workshops
Learning Enabled Components (LECs) are widely being used in a variety of perceptions based autonomy tasks like image segmentation, object detection, end-to-end driving, etc. These components are trained with large image datasets with multimodal facto
Publikováno v:
ISORC
Medical cyber-physical systems in which multiple medical devices co-ordinate with each other and provide closed-loop control to the patient, have come into prominence in the recent past. One of the main challenges for such systems is guaranteeing the