Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals

D Pamucar, V Simic, ÖF Görçün… - Expert Systems with …, 2024 - Elsevier
The advanced technologies emerging in Industry 4.0 are forcing companies in different
industries to review their business models and become more compatible with advanced …

Data‐driven and artificial intelligence accelerated steel material research and intelligent manufacturing technology

X Geng, F Wang, HH Wu, S Wang, G Wu… - Materials Genome …, 2023 - Wiley Online Library
With the development of new information technology, big data technology and artificial
intelligence (AI) have accelerated material research and development and industrial …

Status, challenges, and prospects of energy efficiency improvement methods in steel production: A multi-perspective review

Y Yuan, H Na, C Chen, Z Qiu, J Sun, L Zhang, T Du… - Energy, 2024 - Elsevier
Improving energy efficiency has been widely recognized as a direct, efficient, and cost-
effective approach to advancing energy conservation, reducing emissions, and achieving …

Linking circular economy model and green supply chain practices to shape environmental performance: case of Vietnam

TK Tran, KQ Nguyen, QC Le, TTH Nguyen - Environmental Science and …, 2023 - Springer
The circular economy (SE) is the foremost element for environmental improvement that
reduces wastage and enhances production. This aspect requires the focus of new …

MPFANet: A multipath feature aggregation network for steel surface defect detection

Z Li, Y Tai, Z Huang, T Peng… - Measurement Science and …, 2024 - iopscience.iop.org
As a crucial component of product quality surveillance in the industrial manufacturing field,
surface defect detection plays a pivotal role in achieving industrial automation. Although …

A Self-Supervised Model Based on CutPaste-Mix for Ductile Cast Iron Pipe Surface Defect Classification

H Zhang, Q Sun, K Xu - Sensors, 2023 - mdpi.com
Online surface inspection systems have gradually found applications in industrial settings.
However, the manual effort required to sift through a vast amount of data to identify defect …

A metallurgical dynamics-based method for production state characterization and end-point time prediction of basic oxygen furnace steelmaking

Q Qian, Q Dong, J Xu, W Zhao, M Li - Metals, 2022 - mdpi.com
Basic Oxygen Furnace (BOF) steelmaking is an important way for steel production. Correctly
recognizing different blowing periods and abnormal refining states is significant to ensure …

Spectral stability improvement in laser-induced breakdown spectroscopy based on an image auxiliary data preprocessing method

G Chen, P Zheng, J Wang, B Li, X Liu, Z Yang… - Journal of Analytical …, 2024 - pubs.rsc.org
Owing to the complex laser–material interaction, large spectral fluctuation is one of the main
causes of the relatively poor qualitative analysis performance of laser-induced breakdown …

Exploring Relationships between Spatial Pattern Change in Steel Plants and Land Cover Change in Tangshan City

M Ni, Y Zhao, C Ma, X Hou, Y Xie - Sustainability, 2023 - mdpi.com
It is of great significance for the sustainable development of steel cities to explore the
relationship between the spatial pattern change in steel plants and land cover change …

Digital intelligent manufacturing mode innovation and industrial performance analysis based on industrial internet of things cluster

L Xiaoyi, C Hua - Optical and Quantum Electronics, 2024 - Springer
In recent years, with the rapid development of China's technological level, internet business
has also increased, resulting in a shortage of wireless spectrum resources. Therefore …