Affective design using machine learning: a survey and its prospect of conjoining big data-Reference-Cited by-同舟云学术

Affective design using machine learning: a survey and its prospect of conjoining big data

Published:2018-10-04 Issue:7 Volume:33 Page:645-669
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Chan Kit Yan¹,Kwong C.K.²,Wongthongtham Pornpit³,Jiang Huimin²,Fung Chris K.Y.²,Abu-Salih Bilal⁴,Liu Zhixin⁵,Wong T.C.⁶,Jain Pratima⁴

Affiliation:

1. School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, Australia

2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong

3. Curtin University Sustainability Policy Institute, Curtin University, Perth, Australia

4. School of Information Systems, Curtin University, Perth, Australia

5. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China

6. Department of Design, Manufacture, and Engineering Management, University of Strathclyde, UK

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

Reference151 articles.

1. Ahn, H. 2010. “Modeling and Analysis of Affective Influences on Human Experience, Prediction, Decision Making, and Behavior.” PhD Thesis. MIT.

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