Sign for Notice Everyday    Sign Up| Sign In| Link|

Our Sponsors

    Receive Latest News

    Share Us

    MLCL 2021 - 2nd International Conference on Machine learning and Cloud Computing (MLCL 2021)

    View: 1844

    Website | Edit Freely

    Category Case Studies and Theories in Cloud Computing; Cloud Application, Infrastructure and Platforms; Cloud Applications in Vertical Industries; Cloud Based, Parallel Processing; Cloud Business; Cloud Computing Architecture

    Deadline: May 08, 2021 | Date: May 27, 2021-May 28, 2021

    Venue/Country: Zurich, Switzerland

    Updated: 2021-05-03 19:07:59 (GMT+9)

    Call For Papers - CFP

    2nd International Conference on Machine learning and Cloud Computing (MLCL 2021)

    May 22 ~ 23, 2021, Zurich, Switzerland

    Call for Papers

    2nd International Conference on Machine learning and Cloud Computing (MLCL 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Cloud computing. 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.

    This conference aims to bring together researchers and practitioners in all aspects of machine learning and cloud-centric and outsourced computing, including (but not limited to):

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

    Case Studies and Theories in Cloud Computing

    Cloud Application, Infrastructure and Platforms

    Cloud Applications in Vertical Industries

    Cloud Based, Parallel Processing

    Cloud Business

    Cloud Computing Architecture

    Cloud Storage and File Systems


    Data storage and Management in Cloud Computing

    Design Tool for Cloud Computing

    Energy Management and Programming Environments

    Location Based Services, Presence, Availability, and Locality

    Machine Learning Applications

    Machine Learning in knowledge-intensive systems

    Machine Learning Methods and analysis

    Machine Learning Problems

    Machine Learning Trends

    Maintenance and Management of Cloud Computing

    Mobile Clouds for New Millennium, Mobile Devices

    Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing

    NoSQL Data Stores

    Performance, SLA Management and Enforcement


    Resource Provisioning

    Security Techniques for the Cloud

    Service-Oriented Architecture in Cloud Computing

    Social Clouds (Social Networks in the Cloud)

    System Integration, Virtual Compute Clusters

    The Open Cloud: Cloud Computing and Open Source

    Virtualization on Platforms in the Cloud

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by May 08, 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 MLCL 2021, after further revisions, will be published in the special issue of the following journal.

    International Journal on Cloud Computing: Services and Architecture (IJCCSA)

    Machine Learning and Applications: An International Journal (MLAIJ)

    Information Technology in Industry (ITII)New– ESCI (WOS) Indexed

    Important Dates

    Submission Deadline: May 08, 2021 (Last Call)

    Authors Notification: May 14, 2021

    Registration & camera – Ready Paper Due: May 16, 2021

    Contact Us

    Here’s where you can reach us : (or)

    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.