[PDF][PDF] Big Data Framework with Machine Learning for D and D Applications-19108

H Upadhyay, L Lagos, S Joshi… - Conference: WM2019: 45 …, 2019 - academia.edu
The nuclear industry is experiencing a steady increase in maintenance costs even though
plants are maintained under high levels of safety, capability and reliability. Nuclear power …

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

DA Ejigu, Y Tuo, X Liu - Frontiers in Nuclear Engineering, 2024 - frontiersin.org
Nuclear power plants produce a massive amount of clean energy and necessitate safe
operation through intelligence technologies. Recently, the rapid advancements in …

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 …

Machine learning and deep learning methods used in safety management of nuclear power plants: A survey

Y Shi, X Xue, Y Qu, J Xue… - … Conference on Data …, 2021 - ieeexplore.ieee.org
The nuclear power industry is currently a strategic sector in the national economy, along with
nuclear energy being considered to be an essential source of national power supply and …

[PDF][PDF] Artificial intelligence application to D and D—20492

H Upadhyay, L Lagos, S Joshi… - Conference: WM2020: 46 …, 2020 - academia.edu
As aging facilities across the DOE complex await decommissioning, there is an ongoing
need to understand any changes in the structural conditions. Many of these facilities were …

A chemical monitoring and prediction system in semiconductor manufacturing process using Bigdata and AI techniques

HM Cho, KH Lee, P Shim, A Park - … International Conference on …, 2021 - ieeexplore.ieee.org
Numerous chemical substances are used in the semiconductor manufacturing process, and
homogeneity and quality control of surface treatment are performed through precise control …

Deep learning in nuclear industry: A survey

C Tang, C Yu, Y Gao, J Chen, J Yang… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
As a high-tech strategic emerging comprehensive industry, the nuclear industry is committed
to the research, production, and processing of nuclear fuel, as well as the development and …

A comparative study on deep learning models for condition monitoring of advanced reactor piping systems

HK Sandhu, SS Bodda, E Yan, P Sabharwall… - … Systems and Signal …, 2024 - Elsevier
Advanced nuclear reactors offer innovative applications due to their portability, reliability,
resiliency, and high capacity factors. To operate them on a wider scale, reducing …

Deep learning framework for post-hazard condition monitoring of nuclear safety systems

HK Sandhu, SS Bodda, A Gupta - STRUCTURAL HEALTH …, 2021 - dpi-proceedings.com
A novel approach is presented to conduct data-driven condition assessment in nuclear
safety systems with the aid of deep learning. With the resurgence of nuclear energy due to …

Deep technologies using big data in: energy and waste management

J Verma - Deep Learning Technologies for the Sustainable …, 2023 - Springer
The potential of big data is growing exponentially, and over the next decade, it will almost
change every business and industry. The diverse applications of big data have opened new …