Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks

Published:2023-12-15 Issue: Volume:2022 Page:5024-5030
ISSN:
Container-title:2023 IEEE International Conference on Big Data (BigData)
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Author:

Benecki Pawel¹,Kostrzewa Daniel¹,Grzesik Piotr¹,Shubyn Bohdan¹,Syu Jia-Hao²,Lin Jerry Chun-Wei³,Sunderam Vaidy⁴,Mrozek Dariusz¹

Affiliation:

1. Silesian University of Technology,Department of Applied Informatics,Gliwice,Poland

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

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

4. Emory University,Department of Computer Science,Atlanta,GA,USA,30322

Funder

Silesian University of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386359.pdf?arnumber=10386359

Reference25 articles.

1. Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges

2. AGV Status Monitoring and Fault Diagnosis based on CNN

3. Data Freshness Optimization Under CAA in the UAV-Aided MECN: A Potential Game Perspective

4. A consensus protocol for unmanned aerial vehicle networks in the presence of Byzantine faults

5. An embedded intelligent system for on-line anomaly detection of unmanned aerial vehicle

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data;Lecture Notes in Computer Science;2024

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