Editorial
Correction: Deep Reinforcement Learning-Driven Adaptive Control for Intelligent Manufacturing Systems: A Multi-Sensor Fusion Framework for Real-Time Anomaly Detection
@ARTICLE{10.4108/eetsis.14017, author={}, title={Correction: Deep Reinforcement Learning-Driven Adaptive Control for Intelligent Manufacturing Systems: A Multi-Sensor Fusion Framework for Real-Time Anomaly Detection}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={12}, number={12}, publisher={EAI}, journal_a={SIS}, year={2026}, month={4}, keywords={Fault diagnosis, time-frequency image, Resnet; transfer learning, domain adaptation, Internet of Things (IIoT)}, doi={10.4108/eetsis.14017} }- Year: 2026
Correction: Deep Reinforcement Learning-Driven Adaptive Control for Intelligent Manufacturing Systems: A Multi-Sensor Fusion Framework for Real-Time Anomaly Detection
SIS
EAI
DOI: 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.
Copyright © 2026 Shanshan Kong et al., licensed to EAI. 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.
