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    AIBD 2022 - 3rd International Conference on Artificial Intelligence and Big Data (AIBD 2022)

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    Website https://acsty2022.org/aibd/index | Want to Edit it Edit Freely

    Category Artificial Intelligence; Big Data; AI Algorithms; Big Data Management; 5G and Networks for Big Data; Robotics; Intelligent System Architecture

    Deadline: January 01, 2022 | Date: January 22, 2022-January 23, 2022

    Venue/Country: Zurich, Switzerland, Switzerland

    Updated: 2021-12-28 14:16:24 (GMT+9)

    Call For Papers - CFP

    3rd International Conference on Artificial Intelligence and Big Data (AIBD 2022)

    January 22 ~ 23, 2022, Zurich, Switzerland

    https://acsty2022.org/aibd/index

    Scope & Topics

    3rd International Conference on Artificial Intelligence and Big Data (AIBD 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Artificial Intelligence and Big Data. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

    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 areas of Artificial Intelligence and Big Data.

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

    Artificial Intelligence

    AI Algorithms

    Artificial Intelligence Tools and Application

    Computational Theories of Learning

    Data Mining and Machine Learning Tools

    Fuzzy Logic

    Heuristic and AI Planning Strategies and Tools

    Hybrid Intelligent System

    Intelligent System Architecture

    Knowledge Representation

    Natural Language Processing

    Knowledge-based Systems

    Neural Networks

    Pattern Recognition

    Reasoning and Evolution

    Recent Trends and Developments of AI, Big Data

    Robotics

    Big Data

    Big Data Techniques, models and algorithms

    Big Data Infrastructure and platform

    Big Data Search and Mining

    Big Data Security, Privacy and Trust

    Big Data Applications in AI, Bioinformatics, Multimedia etc

    Big Data Tools and systems

    Big Data Management

    Cloud and grid computing for Big Data

    Machine Learning and AI for Big Data

    Big Data Analytics and Social Media

    5G and Networks for Big Data

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by January 01, 2022 (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 AIBD 2022, after further revisions, will be published in the special issues of the following journals

    Machine Learning and Applications: An International Journal (MLAIJ)

    International Journal of Artificial Intelligence & Applications (IJAIA)

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

    Important Dates

    Submission Deadline : January 01, 2022 (Final Call)

    Authors Notification : January 10, 2022

    Registration & Camera-Ready Paper Due : January 15, 2022

    Contact Us

    Here’s where you can reach us : aibdatacsty2022.org or aibdconfatyahoo.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.