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    BIOM 2021 - International Conference on Big Data, IoT and Machine Learning (BIOM 2021)

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    Website https://comit2021.org/biom/index | Edit Freely

    Category 5G and Networks for Big Data;Big Data Analytics and Social Media;Big Data Applications, Bioinformatics, Multimedia etc;Big Data Infrastructure and platform;Big Data;Management;;Big Data Mining;Big Data Search and Mining;Big Data Security, Privacy and Trust;Big Data Techniques, models and algorithms

    Deadline: October 16, 2021 | Date: October 29, 2021-October 30, 2021

    Venue/Country: Vienna, Austria, Austria

    Updated: 2021-10-11 22:19:53 (GMT+9)

    Call For Papers - CFP

    October 29 ~ 30, 2021, Vienna, Austria

    https://comit2021.org/biom/index

    Scope

    International Conference on Big Data, IoT and Machine Learning (BIOM 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Internet of Things (IoT) and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data, IoT and Machine Learning.

    Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Big Data, IoT and Machine Learning.

    Topics of interest include, but are not limited to, the following

    5G and Networks for Big Data

    Big Data Analytics and Social Media

    Big Data Applications, Bioinformatics, Multimedia etc

    Big Data Infrastructure and platform

    Big Data Management

    Big Data Mining

    Big Data Search and Mining

    Big Data Security, Privacy and Trust

    Big Data Techniques, models and algorithms

    Big Data Tools and systems

    Cloud and grid computing for Big Data

    Connectivity and Networking

    Deep Learning

    Electronics and Signal processing for IoT

    Experimental Results and Deployment Scenarios

    Internet of Things

    IoT Applications and Services

    IoT-enabled Innovation and Entrepreneurship

    Learning in knowledge-intensive systems

    Learning Methods and analysis

    Learning Problems

    Machine Learning and AI for Big Data

    Machine Learning Applications

    Security and Privacy for IoT

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by October 16, 2021 (Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

    Selected papers from BIOM 2021, after further revisions, will be published in the special issue of the following journal.

    International Journal of Data Mining & Knowledge Management Process (IJDKP)

    International Journal of Database Management Systems (IJDMS)

    Machine Learning and Applications: An International Journal (MLAIJ)

    Advances in Vision Computing: An International Journal (AVC)

    International Journal of Grid Computing & Applications (IJGCA)

    International Journal of Ambient Systems and Applications (IJASA)

    International Journal on Web Service Computing (IJWSC)

    Important Dates

    Submission Deadline : October 16, 2021 (Final Call)

    Authors Notification : October 23, 2021

    Registration & camera – Ready Paper Due : October 24, 2021

    Contact Us

    Here’s where you can reach us : biom@comit2021.org (or) biomconf@yahoo.com


    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.