Extraction of Psychological Symptoms and Instantaneous Respiratory Frequency as Indicators of Internet Addiction Using Rule-Based Machine Learning-Reference-Cited by-同舟云学术

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Extraction of Psychological Symptoms and Instantaneous Respiratory Frequency as Indicators of Internet Addiction Using Rule-Based Machine Learning

Published:2021-09 Issue:5 Volume:6 Page:203-212
ISSN:2415-6698
Container-title:Advances in Science, Technology and Engineering Systems Journal
language:
Short-container-title:Adv. sci. technol. eng. syst. j.

Author:

Chi Hung-Ming,Chen Liang-Yu,Hsiao Tzu-Chien

Publisher

ASTES Journal

Subject

Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Link

https://www.astesj.com/publications/ASTESJ_060522.pdf

Reference42 articles.

1. H.-M. Ji, L.-Y. Chen, T.-C. Hsiao, "Real-Time detection of Internet addiction using reinforcement learning system," in 2019 Genetic and Evolutionary Computation Conference (GECCO), 1-9, 2019, doi:10.1145/3319619.3326882.

2. K.S. Young, "Internet addiction: The emergence of a new clinical disorder," CyberPsychology and Behavior, 1(3), 237-244, 1998, doi: 10.1089/cpb.1998.1.237.

3. S.-H. Chen, L.-J. Weng, Y.-J. Su, H.-M. Wu, P.-F. Yang, "Development of Chinese Internet addiction scale and its psychometric study," Chinese Journal of Psychology, 45(3), 279-294, 2003, doi: 10.1037/t44491-000.

4. C. Chou, L. Condron, J.C. Belland, "A review of the research on Internet addiction," Educational Psychology Review, 17(4), 363-388, 2005, doi: 10.1007/s10648-005-8138-1.

5. J.S. Lemmens, P.M. Valkenburg, J. Peter, "Development and validation of a game addiction scale for adolescents," Media Psychology, 12, 77-95, 2009, doi: 10.1080/15213260802669458.

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1. An overview of LCS research from 2021 to 2022;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2022-07-09

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