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    Machine Learning and Applications: An International Journal (MLAIJ)

    View: 182

    Website http://airccse.org/journal/mlaij/index.html | Want to Edit it Edit Freely

    Category Machine Learning

    Deadline: February 06, 2021 | Date: March 31, 2021

    Venue/Country: Chennai, India, India

    Updated: 2021-02-05 14:11:46 (GMT+9)

    Call For Papers - CFP

    Machine Learning and Applications: An International Journal (MLAIJ)

    ISSN: 2394 – 0840

    http://airccse.org/journal/mlaij/index.html

    Scope & Topics

    Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.

    Topics of interest

    ● Applications

    ● Learning in knowledge-intensive systems

    ● Learning Methods and analysis

    ● Learning Problems

    ● Computer Vision

    ● Bayesian Network

    ● Data Mining

    Paper Submission

    Authors are invited to submit papers for this journal through E-mail: mlaijjournalatairccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

    Important Dates

    ● Submission Deadline : February 06, 2021

    ● Notification : March 06, 2021

    ● Final Manuscript Due : March 14, 2021

    ● Publication Date : Determined by the Editor-in-Chief


    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.