Correction: Deep Reinforcement Learning-Driven Adaptive Control for Intelligent Manufacturing Systems: A Multi-Sensor Fusion Framework for Real-Time Anomaly Detection

Authors

DOI:

https://doi.org/10.4108/eetsis.14017

Abstract

Correction to: Kong S et al. (2026) Deep Reinforcement Learning-Driven Adaptive Control for Intelligent Manufacturing Systems: A Multi-Sensor Fusion Framework for Real-Time Anomaly Detection. https://doi.org/10.4108/eetsis.11781

This paper was inadvertently published without the funding information. The following information was added to the “Funding” section of the paper:
This paper is supported by Dezhou Engineering Research Center for Big Data and Intelligent Perception Technology (Platform No. PT2025KJT002).
The original article has been updated.

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Published

13-07-2026

Issue

Vol. 12 No. 12 (2025): EAI Endorsed Transactions on Scalable Information Systems

Section

Correction

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

How to Cite

1.
Correction: Deep Reinforcement Learning-Driven Adaptive Control for Intelligent Manufacturing Systems: A Multi-Sensor Fusion Framework for Real-Time Anomaly Detection. EAI Endorsed Scal Inf Syst [Internet]. 2026 Jul. 13 [cited 2026 Jul. 13];12(12). Available from: https://publications.eai.eu/index.php/sis/article/view/14017