Using Machine Learning to Improve Neutron Tagging Efficiency in Water Cherenkov Detectors
M Stubbs - 2021 - winnspace.uwinnipeg.ca
When an anti-neutrino collides with a proton in the atomic nucleus, it yields an anti-lepton
and a free neutron. In a water Cherenkov neutrino detector like Super-K or the next …
and a free neutron. In a water Cherenkov neutrino detector like Super-K or the next …
Machine learning-based security solutions for critical cyber-physical systems
A Raza, S Memon, MA Nizamani… - 2022 10th International …, 2022 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) are complex critical infrastructure that assists society and
provides efficient services to the people and governments. CPS uses many technologies …
provides efficient services to the people and governments. CPS uses many technologies …
Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems
The urgency of solving the problem of ensuring the security of cyber-physical systems is due
to ensure their correct functioning. Cyber-physical system applications have a significant …
to ensure their correct functioning. Cyber-physical system applications have a significant …
A multiple-architecture deep learning approach for nuclear power plants accidents classification including anomaly detection and “don't know” response
Nuclear power plants (NPPs) are complex systems that are monitored by a team of highly
trained operators, that in case of an anomalous event on the NPP, such as an accident, must …
trained operators, that in case of an anomalous event on the NPP, such as an accident, must …
HACSAW: a trusted framework for cyber situational awareness
L Leonard, W Glodek - Proceedings of the 5th Annual Symposium and …, 2018 - dl.acm.org
The HPC Architecture for Cyber Situational Awareness (HACSAW) was established by the
Department of Defense (DoD) High Performance Computing Modernization Program …
Department of Defense (DoD) High Performance Computing Modernization Program …
Machine learning applications in computer emergency response team operations
M Krstić, M Čabarkapa… - 2019 27th …, 2019 - ieeexplore.ieee.org
At the European level, a significant effort was exerted in order to define the regulatory
framework for cyber security and establish Computer Emergency Response Teams (CERTs) …
framework for cyber security and establish Computer Emergency Response Teams (CERTs) …
Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems
In recent years, significant advancements in deep learning technology have facilitated the
development of intelligent health monitoring approaches for energy systems. However …
development of intelligent health monitoring approaches for energy systems. However …
Conformal prediction for trustworthy detection of railway signals
We present an application of conformal prediction, a form of uncertainty quantification with
guarantees, to the detection of railway signals. State-of-the-art architectures are tested and …
guarantees, to the detection of railway signals. State-of-the-art architectures are tested and …
Avoiding unintended bias in toxicity classification with neural networks
S Morzhov - 2020 26th Conference of Open Innovations …, 2020 - ieeexplore.ieee.org
The growing popularity of online platforms that allow users to communicate with each other,
exchange opinions about various events and leave comments, has contributed to the …
exchange opinions about various events and leave comments, has contributed to the …
[图书][B] Cyber security intelligence and analytics
Z Xu, KKR Choo, A Dehghantanha, R Parizi… - 2019 - books.google.com
This book presents the outcomes of the 2019 International Conference on Cyber Security
Intelligence and Analytics (CSIA2019), an international conference dedicated to promoting …
Intelligence and Analytics (CSIA2019), an international conference dedicated to promoting …