Multi-filed data fusion through attention-based networks for readiness prediction in aircraft maintenance: natural language processing (NLP) approach-Reference-Cited by-同舟云学术

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Multi-filed data fusion through attention-based networks for readiness prediction in aircraft maintenance: natural language processing (NLP) approach

Published:2024-05-21 Issue: Volume: Page:1-11
ISSN:1750-9653
Container-title:International Journal of Management Science and Engineering Management
language:en
Short-container-title:International Journal of Management Science and Engineering Management

Author:

Wang Yibin¹,Jaradat Raed²,Wang Haifeng³,Ibne Hossain Niamat Ullah⁴

Affiliation:

1. Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, Michigan, USA

2. Management Science and Engineering, Khalifa University, Abu Dhabi, UAE

3. Department of Industrial and Systems Engineering Mississippi State University, Mississippi, USA

4. Engineering Management Program, Arkansas State University, State University, Arkansas, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17509653.2024.2353585

Reference30 articles.

1. Banghart, M. D. (2017). Bayesian network analysis for diagnostics and prognostics of engineering systems. Mississippi State, MS: Mississippi State University.

2. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin J.;arXiv preprint arXiv,2018

3. Manufacturing paradigms in Supply Chain Management

4. Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity;Fedus W.;Journal of Machine Learning Research,2022

5. Maintenance scheduling using data mining techniques and time series models

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