Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors-Reference-Cited by-同舟云学术

Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors

Published:2024-01-01 Issue:1 Volume:24 Page:975-983
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Syu Jia-Hao¹^ORCID,Lin Jerry Chun-Wei²^ORCID,Biernacki Piotr³^ORCID,Ziebinski Adam³^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

2. Department of Distributed Systems and Informatics Devices, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland

3. Department of Distributed Systems and Informatic Devices, Silesian University of Technology, Gliwice, Poland

Funder

National Centre for Research and Development through the Project “Automated Guided Vehicles Integrated With Collaborative Robots for Smart Industry Perspective”

Statutory Research Funds of the Department of Distributed Systems and Informatics Devices, Silesian University of Technology, Gliwice, Poland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10378722/10309954.pdf?arnumber=10309954

Reference24 articles.

1. Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making

2. Energy grid management system with anomaly detection and Q-learning decision modules

3. Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

4. A Review of Machine Learning and IoT in Smart Transportation

5. A Review and State of Art of Internet of Things (IoT)