[PDF][PDF] Evaluating the Cognitive Impacts of Errors from Analytical Tools in the International Nuclear Safeguards Domain.

ZN Gastelum, LE Matzen, MC Stites, AP Jones… - 2020 - osti.gov
In the field of international nuclear safeguards, the quantity of data that could support
verification of a state's peaceful nuclear energy program is growing at a rate which makes it …

[HTML][HTML] Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks

T Papamarkou, H Guy, B Kroencke, J Miller… - Nuclear Engineering …, 2021 - Elsevier
Nondestructive evaluation methods play an important role in ensuring component integrity
and safety in many industries. Operator fatigue can play a critical role in the reliability of such …

[HTML][HTML] Introducing the CYSAS-S3 dataset for operationalizing a mission-oriented cyber situational awareness

RD Medenou Choumanof, S Llopis Sanchez… - Sensors, 2022 - mdpi.com
The digital transformation of the defence sector is not exempt from innovative requirements
and challenges, with the lack of availability of reliable, unbiased and consistent data for …

Machine learning and data mining for Comprehensive Test Ban Treaty monitoring

S Russell, S Vaidya - 2009 - osti.gov
The Comprehensive Test Ban Treaty (CTBT) is gaining renewed attention in light of growing
worldwide interest in mitigating risks of nuclear weapons proliferation and testing. Since the …

[PDF][PDF] Asset inspection powered by computer vision: the use of deep neural networks for automating the detection and classification of pipeline external damage

M Samnejad, M Aboelatta, CV Dung - PRCI Research Exchange …, 2021 - researchgate.net
Asset owners are required by the government to carry out regular inspection surveys to
ensure the integrity of all pressure-containing equipment. Conventionally, such operations …

A system architecture for the detection and mitigation of CBRN related contamination events of drinking water

E Santamaria, J Moßgraber, E Brill, IM Arango - Procedia Engineering, 2015 - Elsevier
The security of drinking water is increasingly being recognized as a major challenge for
municipalities and water utilities. In the event of a contamination, water spreads rapidly …

Machine Learning in Cyber Threats Intelligent System

W Jaisingh, P Nanjundan… - Artificial Intelligence for …, 2024 - taylorfrancis.com
Cybercriminals disrupt services, exfiltrate sensitive data, and exploit victim machines and
networks to perform malicious activities against organizations. A malicious adversary seeks …

Explainability of cybersecurity threats data using shap

R Alenezi, SA Ludwig - 2021 IEEE Symposium Series on …, 2021 - ieeexplore.ieee.org
Nowadays, cybersecurity threats have become a worrisome issue that need to be addressed
in all of the world. Almost all people have smart devices that are connected worldwide and …

[图书][B] Cyber Security Intelligence and Analytics: 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA2021), Volume 2

Z Xu, RM Parizi, O Loyola-González, X Zhang - 2021 - books.google.com
This book presents the outcomes of the 2021 International Conference on Cyber Security
Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting …

[HTML][HTML] A deep learning-based smart framework for cyber-physical and satellite system security threats detection

I Ashraf, M Narra, M Umer, R Majeed, S Sadiq, F Javaid… - Electronics, 2022 - mdpi.com
An intrusion detection system serves as the backbone for providing high-level network
security. Different forms of network attacks have been discovered and they continue to …