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    CAIML 2021 - 2nd International Conference on Artificial Intelligence and Machine Learning (CAIML 2021)

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    Category Artificial Intelligence; Machine Learning; CAD Design and Testing; Information Retrieval; Semantic Web Techniques and Technologies

    Deadline: June 12, 2021 | Date: June 26, 2021-June 27, 2021

    Venue/Country: Sydney, Australia, Australia

    Updated: 2021-06-07 15:43:00 (GMT+9)

    Call For Papers - CFP

    2nd International Conference on Artificial Intelligence and Machine Learning (CAIML 2021)

    June 26 ~ 27, 2021, Sydney, Australia

    Scope & Topics

    2nd International Conference on Artificial Intelligence and Machine Learning (CAIML 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning 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 AI and Machine Learning.

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

    Artificial Intelligence

    • AI Algorithms

    • Artificial Intelligence Tools and Application

    • Automatic Control

    • Bioinformatics

    • CAD Design and Testing

    • Computational Theories of Learning

    • Computer Vision and Speech Understanding

    • Data Mining and Machine Learning Tools

    • Fuzzy Logic

    • Heuristic and AI Planning Strategies and Tools

    • Hybrid Intelligent Systems

    • Information Retrieval

    • Intelligent System Architecture

    • Knowledge Representation

    • Knowledge-based Systems

    • Mechatronics

    • Multimedia & Cognitive Informatics

    • Natural Language Processing

    • Neural Networks

    • Parallel Processing

    • Pattern Recognition

    • Pervasive Computing and Ambient Intelligence

    • Programming Languages

    • Reasoning and Evolution

    • Recent Trends and Developments

    • Robotics

    • Semantic Web Techniques and Technologies

    • Soft computing theory and Applications

    • Software & Hardware Architectures

    • Web Intelligence Applications & Search

    Machine Learning

    • Applications

    • Learning in knowledge-intensive systems

    • Learning Methods and analysis

    • Learning Problems

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by June 12, 2021. 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 CAIML 2021, 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 on Soft Computing (IJSC)

    • International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)

    • Advances in Vision Computing: An International Journal (AVC)

    Important Dates

    • Submission Deadline: June 12, 2021 (Final Call)

    • Authors Notification: June 20, 2021

    • Registration & Camera-Ready Paper Due: June 22, 2021

    Contact Us

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    Paper Submission Link:

    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.