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    AIMDS 2024 - International Conference on AI, Machine Learning and Data Science (AIMDS 2024)

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    Website https://aimds2024.org/index | Want to Edit it Edit Freely

    Category AI and Data Science Big Data Big Data Model Bioinformatics and Biomedical Image Analysis Business Data

    Deadline: December 07, 2024 | Date: December 14, 2024-December 15, 2024

    Venue/Country: Virtual Conference, Online

    Updated: 2024-12-02 16:16:47 (GMT+9)

    Call For Papers - CFP

    International Conference on AI, Machine Learning and Data Science (AIMDS 2024)

    December 14-15, 2024, Virtual Conference

    https://aimds2024.org/index

    Scope

    The International Conference on AI, Machine Learning, and Data Science (AIMDS 2024) will be an exceptional virtual platform for sharing knowledge and research findings in the theory, methodology, and applications of AI, Machine Learning, and Data Science. AIMDS 2024 emphasizes both theoretical research and practical applications in these fields. The conference seeks high-quality papers that address all technical aspects of AI, Machine Learning, and Data Science. Submissions from academia, industry, and government are encouraged, covering both traditional and emerging topics, as well as innovative paradigms, with a strong focus on real-world problems, systems and applications.

    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

    AI and Data Science

    Big Data

    Big Data Model

    Bioinformatics and Biomedical Image Analysis

    Business Data

    Chatbots

    ChatGPT

    Computer Graphics

    Cyber Security and Privacy for Big Data

    Data Analytics

    Data Classification and Regression

    Data Management

    Data Mining

    Data Science

    Data Science and Big Data

    Data Science and Machine Learning

    Databases

    Deep Learning

    Explainable Artificial Intelligence

    Forecasting

    Hybrid Machine Learning Systems for Data Science

    Improved Internet Search

    Learning in knowledge-intensive systems

    Learning Methods and analysis

    Learning Problems

    Machine Learning

    Machine Learning and Data Mining

    Machine Learning Recommender systems

    Machine Translation

    ML in Music, Art and Leisure

    Motion and Tracking

    Natural Language Processing

    Neural Networks

    No-Code Environment

    Pattern Recognition

    Quantum Computing

    Reinforcement Learning

    Social Media, Social Network and Social Data

    Social Network Analysis

    Time Series Analysis

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by December 07, 2024(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 nde conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed).

    Selected papers from AIMDS 2024, after furnder revisions, will be published in the special issue of the following journals

    International Journal of Artificial Intelligence & Applications (IJAIA)

    Machine Learning and Applications: An International Journal (MLAIJ)

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

    Information Technology in Industry (ITII)

    Important Dates

    Submission Deadline : December 07, 2024(Final Call)

    Authors Notification : December 12, 2024

    Registration & Camera-Ready Paper Due : December 13, 2024

    Contact Us

    Here’s where you can reach us : aimdsataimds2024.org or aimdsconfatyahoo.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.