Recent technological progress to empower smart manufacturing: Review and potential guidelines

K Haricha, A Khiat, Y Issaoui, A Bahnasse… - IEEE Access, 2023 - ieeexplore.ieee.org
With growing evidence of advanced technologies-assisted smart processes, it is
fundamental to comprehend whether manufacturing systems are adequate to manage …

A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges

Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …

[HTML][HTML] FinTech enablers, use cases, and role of future internet of things

JR Bhat, SA AlQahtani, M Nekovee - … of King Saud University-Computer and …, 2023 - Elsevier
In the current global trend, financial organizations strive extensively towards smartening
finance to derive the benefits of digitalization. In such an effort, Financial Technology …

ManuChain II: Blockchained smart contract system as the digital twin of decentralized autonomous manufacturing toward resilience in industry 5.0

J Leng, X Zhu, Z Huang, K Xu, Z Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In Industry 5.0 vision, machines are empowered with the interaction capability to
autonomously make local decisions and coordinate with each other as well as humans …

Machine-learning-based monitoring and optimization of processing parameters in 3D printing

TS Tamir, G Xiong, Q Fang, Y Yang… - … Journal of Computer …, 2023 - Taylor & Francis
Additive manufacturing (AM), commonly known as 3D printing, is a rapidly growing
technology. Guaranteeing the quality and mechanical strength of printed parts is an active …

Knowledge augmented broad learning system for computer vision based mixed-type defect detection in semiconductor manufacturing

J Wang, P Gao, J Zhang, C Lu, B Shen - Robotics and Computer-Integrated …, 2023 - Elsevier
Defect detection is a critical measurement process for intelligent manufacturing systems to
provide insights for product quality improvement. For complex products such as integrated …

A novel deep-learning-based QoS prediction model for service recommendation utilizing multi-stage multi-scale feature fusion with individual evaluations

P Zhang, W Huang, Y Chen, MC Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of service computing, the demand for service recommendation
is increasing. Quality of Service (QoS) prediction has been one of the key challenges for …

Cloud-fog automation: vision, enabling technologies, and future research directions

J Jin, K Yu, J Kua, N Zhang, Z Pang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The Industry 4.0 digital transformation envisages future industrial systems to be fully
automated, including the control, upgrade, and configuration processes of a large number of …

Feature selection in the data stream based on incremental Markov boundary learning

X Wu, B Jiang, X Wang, T Ban… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recent years have witnessed the proliferation of techniques for streaming data mining to
meet the demands of many real-time systems, where high-dimensional streaming data are …

Machine learning-based techniques for fault diagnosis in the semiconductor manufacturing process: a comparative study

AA Nuhu, Q Zeeshan, B Safaei… - The Journal of …, 2023 - Springer
Industries are going through the fourth industrial revolution (Industry 4.0), where
technologies like the Industrial Internet of things, big data analytics, and machine learning …