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Clustered Multi-Task Sequence-to-Sequence Learning for Autonomous Vehicle Repositioning

  • Published:2021 Issue: Volume:9 Page:14504-14515
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Lee SangminORCID,Lim Dae-EunORCID,Kang YounkookORCID,Kim Hae JoongORCID

Funder

Research Grant of Kwangwoon University in 2020

Samsung Electronics, Co., Ltd.

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education

Kangwon National University in 2020

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 11 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. Effectiveness of Recent Methodologies of Intelligent Transportation System;International Journal of Intelligent Transportation Systems Research;2023-11-30

2. Queueing network models for the analysis and optimisation of material handling systems: a systematic literature review;Flexible Services and Manufacturing Journal;2023-09-07

3. Pragmatic Evaluation of IoV based Cluster Formation Models for Efficient Routing Scenarios;2023 7th International Conference on Computing Methodologies and Communication (ICCMC);2023-02-23

4. Bayesian Optimization for the Vehicle Dwelling Policy in a Semiconductor Wafer Fab;IEEE Transactions on Automation Science and Engineering;2023

5. Demand management for smart transportation: A review;Multimodal Transportation;2022-12
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