<b id="31p1d"><strike id="31p1d"></strike></b>

        <nobr id="31p1d"></nobr><meter id="31p1d"></meter>
        <listing id="31p1d"></listing>

            Home > News >

            ICACTE 2019 & MLMI 2019 Successfully Closed.

            ICACTE 2019 & MLMI 2019 | September 18-20, 2019 | Jakarta, Indonesia

            2019 12th International Conference on Advanced Computer Theory and Engineering (ICACTE 2019) and 2019 2nd International Conference on Machine Learning and Machine Intelligence (MLMI 2019) was held in Jakarta, Indonesia during September 18-20, 2019 successfully.
            We were pleased to have accepted 18 presentations (including one poster presentation) in this program. The presentations were divided into 2 breakout sessions with topics including Computer and Information System, Data Analysis and Data Processing.
            A word of special welcome is given to our keynote speakers and invited speaker who made contributions to our conference and share their new research ideas with us. They are Prof. James T. Kwok from Hong Kong University of Science and Technology; Prof. Jianjun Li from Hangzhou Dianzi University, China and Assoc. Prof. Jarot S. Suroso from Bina Nusantara University, Indonesia. Our conference was also highlighted by the Opening Ceremony & Academic Visit in the Kalbis Institute in the afternoon of September 18.
            Group photo

            Keynote Speakers & Invited Speakers

            Prof. James T. Kwok (IEEE Fellow)
            Hong Kong University of Science and Technology, Hong Kong

            Prof. Jianjun Li
            Hangzhou Dianzi University, China

            Assoc. Prof. Jarot S. Suroso
            Bina Nusantara University, Indonesia
            Best Presentations

            Paper Title: NMF-based DCG Optimization for Collaborative Ranking on Recommendation Systems 
            Presenter: Noor Ifada 
            University of Trunojoyo Madura, Indonesia

            Paper Title: Meteorological Visibility Estimation by using Multi-Support Vector Regression Method
            Presenter: Wai Lun Lo
            Chu Hai College of Higher Education, Hong Kong