Using Two-Level Context-Based Predictors for Assembly Assistance in Smart Factories-Reference-Cited by-同舟云学术

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Using Two-Level Context-Based Predictors for Assembly Assistance in Smart Factories

Published:2020-07-28 Issue: Volume: Page:167-176
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Gellert Arpad^ORCID,Zamfirescu Constantin-Bala^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-53651-0_14

Reference24 articles.

1. Aehnelt, M., Bader, S.: Information assistance for smart assembly stations. In: International Conference on Agents and Artificial Intelligence, vol. 2, pp. 143–150 (2015)

2. Chen, I.-C.K., Coffey, J.T., Mudge, T.N.: Analysis of branch prediction via data compression. ACM SIGPLAN Notices 31(9), 128–137 (1996)

3. Florea, A., Gellert, A., Vintan, L., Veltan, M.: The impact of java applications at microarchitectural level from branch prediction perspective. Int. J. Comput. Commun. Control 4(1), 27–40 (2009)

4. Funk, M., Dingler, T., Cooper, J., Schmidt, A.: Stop helping me – I’m bored! Why assembly assistance needs to be adaptive. In: 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2015 ACM International Symposium on Wearable Computers, pp. 1269–1273. Osaka, Japan (2015)

5. Funk, M., Bächler, A., Bächler, L., Kosch, T., Heidenreich, T., Schmidt, A.: Working with augmented reality? A long-term analysis of in-situ instructions at the assembly workplace. In: 10th ACM International Conference on Pervasive Technologies Related to Assistive Environments, pp. 222–229. Island of Rhodes, Greece (2017)

Cited by 5 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. Recognising Worker Intentions by Assembly Step Prediction;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12

2. Real-Time Assembly Support System with Hidden Markov Model and Hybrid Extensions;Mathematics;2022-08-02

3. Towards an Assembly Support System with Dynamic Bayesian Network;Applied Sciences;2022-01-19

4. Engineering a Digital Twin for Manual Assembling;Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends;2021

5. Assembly Process Modeling Through Long Short-Term Memory;Recent Challenges in Intelligent Information and Database Systems;2021

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