GPB and BAC: two novel models towards building an intelligent motor fault maintenance question answering system-Reference-Cited by-同舟云学术

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GPB and BAC: two novel models towards building an intelligent motor fault maintenance question answering system

Published:2024-04-12 Issue: Volume: Page:1-21
ISSN:0954-4828
Container-title:Journal of Engineering Design
language:en
Short-container-title:Journal of Engineering Design

Author:

Lyu Pin¹,Fu Jingqi¹,Liu Chao²,Yu Wenbing¹,Xia Liqiao³

Affiliation:

1. School of Electronic Information Engineering, Shanghai Dianji University, Shanghai, People’s Republic of China

2. College of Engineering and Physical Sciences, Aston University, Birmingham, UK

3. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

Funder

Shanghai Science and Technology

Mainland-Hong Kong Joint Funding Scheme of the Innovation and Technology Commission

National Natural Science Foundation of China

National Key R&D Programs of Cooperation on Science and Technology Innovation with Hong Kong, Macao and Taiwan

Ministry of Science and Technology of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09544828.2024.2335135

Reference40 articles.

1. Evaluating the Performance of ChatGPT in Ophthalmology

2. Boosting question answering over knowledge graph with reward integration and policy evaluation under weak supervision

3. Construction and exploitation of an historical knowledge graph to deal with the evolution of ontologies

4. A Survey on Evaluation of Large Language Models

5. Assembly Information Model Based on Knowledge Graph

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1. The impact of customisation experience and co-design value on the 3D printed specimen;Journal of Engineering Design;2024-07-05

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