Unraveling thermoelastic performance of the multi-directional functionally graded composite structure by data-driven deep-learning approach-Reference-Cited by-同舟云学术

Unraveling thermoelastic performance of the multi-directional functionally graded composite structure by data-driven deep-learning approach

Author:

Wu Xiaoling¹,Chen Qilong¹,He Wenhai¹,Almadhor Ahmad²,Abbas Mohamed³

Affiliation:

1. School of Information Technology and Engineering, Guangzhou College of Commerce, Guangzhou, Guangdong 511363, China

2. Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Saudi Arabia

3. Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia

Funder

Course System Design for Applied Talents Cultivation in Colleges and Universities Based on Big Data Technology for Enterprise Needs

Research on Human Pose Recognition and Judgment Technology Based on Deep Learning

Deanship of Scientific Research at King Khalid University (KKU) for funding this research through the Research Group Program

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,General Mathematics,Civil and Structural Engineering

Link

Reference121 articles.

3. Free vibration analysis of a sandwich cylindrical shell with an FG core based on the CUF;Foroutan K.;Smart Struct. and Syst,2022

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