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    MLIOB 2020 - International Conference on Machine Learning, IOT and Blockchain (MLIOB 2020)

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    Website https://aisca2020.org/mliob/index.html | Edit Freely

    Category Machine Learning Applications;Learning in knowledge-intensive systems;Learning Methods andanalysis;Learning Problems;Deep Learning

    Deadline: November 08, 2020 | Date: November 28, 2020-November 29, 2020

    Venue/Country: Dubai, UAE, United Arab Emirates

    Updated: 2020-11-03 21:21:29 (GMT+9)

    Call For Papers - CFP

    November 28 ~ 29, 2020, Dubai, UAE

    https://aisca2020.org/mliob/index.html

    Scope

    International Conference on Machine Learning, IOT and Blockchain (MLIOB 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, IoT and Blockchain. 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 Machine Learning, Internet of Things and Blockchain.

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

    Machine Learning Applications

    Learning in knowledge-intensive systems

    Learning Methods andanalysis

    Learning Problems

    Deep Learning

    AI for IoT

    Blockchain and IoT

    Electronics and Signal processing for IoT

    Energy Efficiency and Sustainability in IoT

    Human Interaction with IoT

    Interoperability in IoT

    IoT Applications and Industry 4.0

    IoT Communication Technologies

    IoT Edge and Cloud Architectures

    IOT Experimental Results and Deployment Scenarios

    IoT enabled Innovation and Entrepreneurship

    Machine learning and IoT

    Robotic IoT Systems

    Security and Privacy for IoT

    Self-adaptation for IoT Systems

    Software Engineering for IoT

    Web of Things

    Block Chain issues and trends

    Blockchain Attacks on Existing Systems

    Blockchain Consensus Algorithms

    Blockchain Foundations

    Blockchain New Design

    Blockchain Privacy

    Blockchain Scalability

    Blockchain-based security for the IoT

    Blockchain, Bigdata and IOT advances

    PAPER SUBMISSION

    Authors are invited to submit papers through the conference Submission System by November 08, 2020.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 MLIOB 2020, 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 UbiComp (IJU)

    The International Journal of Ambient Systems and Applications (IJASA)

    The International Journal of Network Security & Its Applications (IJNSA)

    International Journal of Security, Privacy and Trust Management (IJSPTM)

    International Journal of Artificial Intelligence & Applications (IJAIA)

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

    Important Dates

    Submission Deadline : November 08, 2020

    Authors Notification : November 15, 2020

    Registration & Camera-Ready Paper Due : November 18, 2020

    Contact Us

    Here’s where you can reach us : mliobconf@yahoo.com or mliob@aisca2020.org


    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.