Cyber-Physical Systems and Artificial Intelligence: State of Art and Research Agenda

More attention has recently been paid in both academic and practical settings to the connection between cyber-physical systems and artificial intelligence. However, there is currently no study that thoroughly reviews and analyzes this connection. This underscores the need to close this gap by performing a comprehensive evaluation of the literature using bibliometric and scientometric analyses with regard to studies on cyber-physical systems and artificial intelligence. Thus, major trend analysis and knowledge structure analysis are performed. 189 papers acquired from Web of Science data sets have been analyzed, visualized, and mapped using (i.e., intellectual and conceptual). With reference to the analysis and discussion outcomes, future directions are suggested to address every facet of this developing field. By doing this, the paper equips researchers and practitioners with knowledge about the cutting-edge development and trajectory of artificial intelligence tools for cyber-physical systems.

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Publication Details

Published
2024-10-31
DOI
https://doi.org/10.1109/imc-ssgp63352.2024.10919600
Primary Topic
Digital Transformation in Industry
Type
article
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article

Cyber-Physical Systems and Artificial Intelligence: State of Art and Research Agenda

Karim Chabir, Mariem Mrad
Digital Transformation in Industry
article

Cyber-Physical Systems and Artificial Intelligence: State of Art and Research Agenda

Karim Chabir, Mariem Mrad
article en

Abstract

More attention has recently been paid in both academic and practical settings to the connection between cyber-physical systems and artificial intelligence. However, there is currently no study that thoroughly reviews and analyzes this connection. This underscores the need to close this gap by performing a comprehensive evaluation of the literature using bibliometric and scientometric analyses with regard to studies on cyber-physical systems and artificial intelligence. Thus, major trend analysis and knowledge structure analysis are performed. 189 papers acquired from Web of Science data sets have been analyzed, visualized, and mapped using (i.e., intellectual and conceptual). With reference to the analysis and discussion outcomes, future directions are suggested to address every facet of this developing field. By doing this, the paper equips researchers and practitioners with knowledge about the cutting-edge development and trajectory of artificial intelligence tools for cyber-physical systems.

École Nationale d'Ingénieurs de Gabès (TN)
Openalex Percentile: Top 58%
Digital Transformation in Industry
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