ABOUT ICINT 2020
2020 5th International Conference on Information and Network Technologies (ICINT 2020) aims to provide a
forum for researchers, practitioners, and
professinals from the industry, academia and
government to discourse on research and
development, professional practice in
information and network technologies. ICINT 2020 will be held in
University of the Ryukyus,
Okinawa, Japan during May 20-22, 2020.
ICINT is also the
annual meeting of JACN editorial board, so
it also serves to bring authors and editors
of JACN together to communciate face to
face and discuss chances for possible
cooperation and future development of
JACN.
IMPORTANT DATES
Submission Deadline: January 5, 2020
Notification Date: January 30, 2020
Registration Deadline: February 15, 2020
Conference Dates: May 20-22, 2020
PUBLICATION OPTIONS
Option 1:
Publication in Conference Proceedings.
Submissions will be peer reviewed by conference
committees, and accepted papers will be
published in the conference proceedings, which
will be indexed by EI Compendex, Scopus,
etc.
Option 2: Publication in Journal. Submissions
will be reviewed by the conference committees
and journal editorial board, and accepted papers
will be published in
Journal of Advances in Computer Networks,
which will be indexed by EI (INSPEC, IET),
Electronic Journals Library, Ulrich's
Periodicals Directory, ProQuest, and Google
Scholar. etc.
Option 3: For those who're NOT looking to publish their papers, it's acceptable to submit your abstracts to the conference just for oral presentation without publication, which will be sent to at least two techinical committees for a brief review, and it will take about 10 working days.
LATEST NEWS
July 15, 2019, News !
Supported by University of the Ryukyus, ICINT 2020 will be held in Okinawa, Japan during May 20-22.(Click).
May 31, 2019, News !
ICINT 2019 has been held successfully in Ritsumeikan University (Suzaku Campus), Kyoto, Japan. (Click).
May 09, 2019, News !
Professor Yen-Wei Chen will give a keynote speech at ICINT 2019. The title of his talk is 'Deep Learning in Medical Imaging' (Click).
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