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    BIOM 2023 - 3rd International Conference on Big Data, IoT and Machine Learning (BIOM 2023)

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    Category 5G and Networks for Big Data;Big Data Analytics;Big Data Applications;Big Data Management

    Deadline: November 04, 2023 | Date: November 18, 2023-November 19, 2023

    Venue/Country: Zurich, Switzerland, Swaziland

    Updated: 2023-10-30 20:28:34 (GMT+9)

    Call For Papers - CFP

    3rd International Conference on Big Data, IoT and Machine Learning (BIOM 2023)

    November 18 ~ 19, Zurich, Switzerland


    3rd International Conference on Big Data, IoT and Machine Learning (BIOM 2023) 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 the following areas, but are not limited to.

    Topics of Interest

    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 November 04, 2023(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 2023, after further revisions, will be published in the special issue of the following journals

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

    International Journal of Database Management Systems (IJDMS) – WJCI Indexed

    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

    Second Batch : (Submissions after October 09, 2023)

    Submission Deadline : November 04, 2023(Final Call)

    Authors Notification : November 13, 2023

    Registration & Camera-Ready Paper Due : November 15, 2023

    Contact Us

    Here’s where you can reach us : or

    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.