Expert System for Bainite Design: the Approach to Enrich Physical Models with Information Derived from Knowledge Models-Reference-Cited by-同舟云学术

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Expert System for Bainite Design: the Approach to Enrich Physical Models with Information Derived from Knowledge Models

Published:2024-05-15 Issue: Volume: Page:270-275
ISSN:
Container-title:Proceedings of the 2024 10th International Conference on Computer Technology Applications
language:
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Author:

Mezhuyev Vitaliy¹^ORCID,Hofmann Paul¹^ORCID

Affiliation:

1. Institute of Industrial Management, FH JOANNEUM University of Applied Sciences, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674558.3674597

Reference16 articles.

1. Abu-Nasser, B. (2017). Medical expert systems survey. International Journal of Engineering and Information Systems (IJEAIS), 1(7), 218-224.

2. Saibene, A., Assale, M., & Giltri, M. (2021). Expert systems: Definitions, advantages and issues in medical field applications. Expert Systems with Applications, 177, 114900.

3. Development of an Expert System to Support the Decision-Making Process on the Shop Floor

4. Al-Abri, K., & Sidhu, M. (2023). Conceptual Model of Hybrid Neural Expert System for Career Counselling. International Journal of Application on Sciences, Technology and Engineering, 1(1), 358-365.

5. Mohammed, A. A., Ambak, K., Mosa, A. M., & Syamsunur, D. (2019). Expert system in engineering transportation: A review. Journal of Engineering Science and Technology, 14(1), 229-252.

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