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    CSML 2023 - International Conference on Computer Science and Machine Learning (CSML 2023)

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    Website https://aisca2023.org/csml/index | Want to Edit it Edit Freely

    Category Artificial Intelligence; Big Data; Bioinformatics; Computer Architecture and Real time Systems

    Deadline: August 20, 2022 | Date: January 02, 2023-January 03, 2023

    Venue/Country: Zurich, Switzerland, Switzerland

    Updated: 2022-08-08 18:55:42 (GMT+9)

    Call For Papers - CFP

    January 02 ~ 03, 2023, Zurich, Switzerland

    https://aisca2023.org/csml/index

    Scope

    International Conference on Computer Science and Machine Learning (CSML 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science and Machine Learning. The Conference looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. 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 Computer Science, Engineering, Information Technology and Machine Learning.

    Topics of Interest

    Artificial Intelligence

    Big Data

    Bioinformatics

    Computer Architecture and Real time Systems

    Database and Data Mining

    Dependable, reliable and autonomic computing

    Distributed and parallel systems & algorithms

    Embedded system and software

    Internet of Things (IoT)

    Modelling and Simulation

    Natural Language Processing (NLP)

    Networking and Communications

    Parallel and Distributed Systems

    Security , Cryptography , Blockchain

    Signal /Image Processing/Multimedia

    Software Engineering

    Web and internet computing

    Bayesian Network

    Computer Vision

    Deep Learning

    Learning in knowledge-intensive systems

    Learning Methods and analysis

    Learning Problems

    Machine Learning Algorithms

    Neural Networks

    Predictive Learning

    Reinforcement Learning

    Supervised Machine Learning

    Unsupervised Machine Learning

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by August 20, 2022. 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 CSML 2023, after further revisions, will be published in the special issue of the following journals

    International Journal of Computer Science & Information Technology (IJCSIT) – INSPEC, WJCI Indexed

    Advanced Computing: An International Journal (ACIJ)

    International Journal of Computer Science, Engineering and Applications (IJCSEA)

    International Journal of Advanced Information Technology (IJAIT)

    International Journal of Soft Computing (IJSC)

    International Journal of Artificial Intelligence & Applications (IJAIA)

    Machine Learning and Applications: An International Journal (MLAIJ)

    Information Technology in Industry (ITII)

    Important Dates

    Submission Deadline : August 20, 2022

    Authors Notification : October 22, 2022

    Registration & Camera-Ready Paper Due : October 30, 2022

    Contact Us

    Here’s where you can reach us : csmlataisca2023.org or csmlconfatyahoo.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.