[EDITORIAL] Practical Approaches Based on Deep Learning and Social Computing

[EDITORIAL] Practical Approaches Based on Deep Learning and Social Computing


Jong Hyuk Park, Journal of Information Processing Systems Vol. 14, No. 1, pp. 1-5, Feb. 2018  

https://doi.org/10.3745/JIPS.00.0009
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Abstract

The Journal of Information Processing Systems (JIPS) publishes a wide range of topics related to a wide variety of advanced information and communication technologies, including systems, networks, architectures, algorithms, applications, and security. As the official international journal published by the Korea Information Processing Society, JIPS is the world's leading academic journal indexed by ESCI, SCOPUS, EI COMPENDEX, DOI, DBLP, EBSCO, Google Scholar, and CrossRef. The purpose of JIPS is to provide an outstanding, influential forum where researchers and experts gather to promote, share, and discuss crucial research issues and developments. The published theoretical and practical articles contribute to the relevant research area by presenting cutting-edge techniques related to information processing including new theories, approaches, concepts, analysis, functional experience reports, implementations, and applications. Topics covered in this journal include, but are not limited to, computer systems and theory, multimedia systems and graphics, communication systems and security, software systems, and applications.


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Cite this article
[APA Style]
Park, J. (2018). [EDITORIAL] Practical Approaches Based on Deep Learning and Social Computing. Journal of Information Processing Systems, 14(1), 1-5. DOI: 10.3745/JIPS.00.0009.

[IEEE Style]
J. H. Park, "[EDITORIAL] Practical Approaches Based on Deep Learning and Social Computing," Journal of Information Processing Systems, vol. 14, no. 1, pp. 1-5, 2018. DOI: 10.3745/JIPS.00.0009.

[ACM Style]
Jong Hyuk Park. 2018. [EDITORIAL] Practical Approaches Based on Deep Learning and Social Computing. Journal of Information Processing Systems, 14, 1, (2018), 1-5. DOI: 10.3745/JIPS.00.0009.