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    ICSESS 2020 - 2020 the 11th International Conference on Software Engineering and Service Science

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    Website http://www.icsess.org | Edit Freely

    Category Software Engineering;Big Data and Intelligent Computing;Computer Science;Artificial Intelligence;Blockchain Technology

    Deadline: July 25, 2020 | Date: October 16, 2020-October 18, 2020

    Venue/Country: China Hall of Science and Technology,Beijing, China

    Updated: 2020-06-30 22:06:55 (GMT+9)

    Call For Papers - CFP

    2020 the 11th International Conference on Software Engineering and Service Science (ICSESS 2020) will be held on October 16-18,2020 in Beijing,China. This conference is sponsored by IEEE,IEEE Beijing Section.the conference will bring together the top researchers from Asian Pacific nations, North America, Europe and around the world to exchange their research results and address open issues in Deep Learning and Big Data;Intelligent System Architectures; Intelligent Web and Algorithm;Software Engineering and Service Science;Artificial Intelligence tools & Applications;Blockchain Technology and Systems. It is one of the leading international conferences for presenting novel and fundamental advances in the fields of New Generation Artificial Intelligence、Internet of Things、 System Model and Algorithm、Software Engineering and Blockchain Technology and Systems. All papers must be written in English and will be reviewed by technical committees of the Conference. All accepted papers must be written in English and will be Xplore and Ei Compendex.

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.