Cite Article
Cite Article
MLA
Chen, Yuh-Min, et al. "A Machine Learning-Based Anomaly Detection Method and Blockchain-Based Secure Protection Technology in Collaborative Food Supply Chain." IJEC vol.19, no.1 2023: pp.1-24. http://doi.org/10.4018/IJeC.315789
APA
Chen, Y., Chen, T., & Li, J. (2023). A Machine Learning-Based Anomaly Detection Method and Blockchain-Based Secure Protection Technology in Collaborative Food Supply Chain. International Journal of e-Collaboration (IJeC), 19 (1), 1-24. http://doi.org/10.4018/IJeC.315789
Chicago
Chen, Yuh-Min, Tsung-Yi Chen, and Jyun-Sian Li. "A Machine Learning-Based Anomaly Detection Method and Blockchain-Based Secure Protection Technology in Collaborative Food Supply Chain," International Journal of e-Collaboration (IJeC) 19, no.1: 1-24. http://doi.org/10.4018/IJeC.315789
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International Journal of e-Collaboration (IJeC) The International Journal of e-Collaboration (IJeC) addresses the design and implementation of e-collaboration technologies, assesses its behavioral impact on individuals and groups, and presents theoretical considerations on links between the use of e-collaboration technologies and behavioral patterns. An innovative collection of the latest research findings, this journal covers significant topics such as Web-based chat tools, Web-based asynchronous conferencing tools, e-mail, listservs, collaborative writing tools, group decision support systems, teleconferencing suites, workflow automation systems, and document management technologies.
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