Technology Forecasting Model Based on Trends of Engineering System Evolution (TESE) and Big Data for 4IR-Reference-Cited by-同舟云学术

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Technology Forecasting Model Based on Trends of Engineering System Evolution (TESE) and Big Data for 4IR

Published:2020-09-27 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Student Conference on Research and Development (SCOReD)
language:
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Author:

Ghane Mostafa,Ang Mei Choo,Kadir Rabiah Abdul,Ng Kok Weng

Funder

Ministry of Higher Education

Universiti Kebangsaan Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9250744/9250745/09250944.pdf?arnumber=9250944

Cited by 7 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. The Patented Technology Innovation Portfolio on Remanufacturing in Circular Economy Using TRIZ;Lecture Notes in Mechanical Engineering;2024

2. The Patented Technology Innovation Portfolio on 4D Printer Using Theory of Inventive Problem Solving;Lecture Notes on Data Engineering and Communications Technologies;2024

3. Patented Technology Innovation Portfolio in Producing Biofuel Using the Theory of Inventive Problem Solving (TRIZ) Methodology;Chemical Engineering & Technology;2023-10-16

4. A Mathematical Analysis of 4IR Innovation Barriers in Developmental Social Work—A Structural Equation Modeling Approach;Mathematics;2023-02-16

5. TRIZ trend of engineering system evolution: A review on applications, benefits, challenges and enhancement with computer-aided aspects;Computers & Industrial Engineering;2022-12

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