Big data analytics nuclear security framework

M Ibrahim, SN Hamdan, MF Haris… - IOP Conference …, 2021 - iopscience.iop.org
Nuclear security is defined as the prevention and detection of, and response to, theft,
sabotage, unauthorized access, illegal transfer, or other malicious acts involving nuclear …

Advancement of deep learning in big data and distributed systems

AS Ahmed, MS Abood… - 2021 3rd international …, 2021 - ieeexplore.ieee.org
Digital computing space has grown dramatically since the beginning of the 2000s to deal
with an increase in data proliferation. These come from a wide variety area. For example, the …

Deep learning framework for cybersecurity: Framework, applications, and future research trends

RV Singh, B Bhushan, A Tyagi - … in Data Mining and Information Security …, 2021 - Springer
With the development and modernization in technology and Internet, cybercrimes are also
increasing rapidly and cybercriminals are using different and new approaches or methods …

Accident diagnosis algorithm with untrained accident identification during power-increasing operation

J Yang, J Kim - Reliability Engineering & System Safety, 2020 - Elsevier
To ensure the safety of nuclear power plants (NPPs) from accidents or anomalies, regulatory
bodies provide procedures that describe safety regulations that must be followed. However …

Cyber security using Machine Learning in Digital Education industry

S Shukla, A Sharma - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In modern digital era, as the technological advancements are touching the new heights over
internet, so is the crimes related to it. Education industry is no exception. Education sector is …

Cyber security strategy for nuclear power plant through vital digital assets

S Kim, S Kim, K Nam, S Kim… - … on Computational Science …, 2019 - ieeexplore.ieee.org
As nuclear power plant Instrumentation and Control (I&C) systems have turned into digital
systems, the possibility of cyber-attacks has increased. To protect the nuclear power plant …

Intelligent fault analysis decision flow in semiconductor industry 4.0 using natural language processing with deep clustering

K Ezukwoke, H Toubakh, A Hoayek… - 2021 IEEE 17th …, 2021 - ieeexplore.ieee.org
Microelectronics production failure analysis is a time-consuming and complicated task
involving successive steps of analysis of complex process chains. The analysis is triggered …

Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems

Y Yao, T Han, J Yu, M Xie - Energy, 2024 - Elsevier
In recent years, significant advancements in deep learning technology have facilitated the
development of intelligent health monitoring approaches for energy systems. However …

[图书][B] Big Data Analysis and Deep Learning Applications: Proceedings of the First International Conference on Big Data Analysis and Deep Learning

TT Zin, JCW Lin - 2018 - books.google.com
This book presents a compilation of selected papers from the first International Conference
on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel …

Surface Crack Detection Using Data Mining and Feature Engineering Techniques

A Chordia, S Sarah, MK Gourisaria… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
Surface cracks on any concrete structure can cause a lot of damage to its surroundings as
well as to the people around it. These cracks need to be identified as soon as possible …