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    CACML 2023 - 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning (CACML 2023)

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    Website http://www.cacml.net/ | Want to Edit it Edit Freely

    Category Algorithms, Computing and Machine Learning

    Deadline: March 17, 2023 | Date: March 19, 2023-March 21, 2023

    Venue/Country: Shanghai, China

    Updated: 2022-11-08 12:36:40 (GMT+9)

    Call For Papers - CFP

    2023 2nd Asia Conference on Algorithms, Computing and Machine Learning (CACML 2023)

    Website: http://www.cacml.net/

    Venue: Shanghai, China (both online and in-person)

    Conference Date: March 17-19, 2023

    2023 2nd Asia Conference on Algorithms, Computing and Machine Learning (CACML 2023) will be held in Shanghai, China during March 17-19, 2023. It is sponsored by The International Society for Applied Computing (ISAC) and The Technical Institute for Engineers (T.I.E.). We fully understand some participants cannot attend the conference in-person due to COVID-19, so we will hold our conference both online and in-person, thus you could attend the conference online and do the online presentation.

    During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Algorithms, Computing and Machine Learning. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in this field.

    We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.

    *Conference Speakers:

    Keynote Speaker I:

    Prof. Witold Pedrycz, University of Alberta, Canada (IEEE Life Fellow)

    Keynote Speaker II:

    Prof. KWONG Tak Wu, City University of Hong Kong, Hong Kong (IEEE Fellow)

    Keynote Speaker III:

    Prof. Assaf Schuster, Israel Institute of Technology, Israel (ACM Fellow / IEEE Fellow)

    Keynote Speaker IV:

    Prof. Shuanghua Yang, Southern University of Science and Technology, China (IEEE Senior Member / IET Fellow)

    *Call for papers:

    Algorithms

    Analysis of algorithms

    Ant colony algorithm

    Approximation algorithm

    Combinatorial search

    Competitive analysis

    Computability theory

    Computational complexity theory

    Embarrassingly parallel problem

    Emergent algorithm

    Evolutionary algorithm

    Genetic algorithm

    Graph exploration algorithm

    Ambient computing

    Artificial and Computational Intelligence

    Big data-oriented computing

    Cloud Computing

    Cognitive computing

    DNA (genetic) computing

    Embedded computing

    Entertainment computing

    Fog-computing

    Deep and Reinforcement Learning

    Machine Learning for Network Slicing Optimization

    Machine Learning for 5G system

    Machine Learning for User Behavior Prediction

    New Innovative Machine Learning Methods

    Optimization of Machine Learning Methods

    Machine learning for multimedia

    Machine learning for Internet of Things

    Distributed machine learning algorithms

    Intelligent cloud-support communications

    Intelligent ressource allocation

    Intelligent cooperative networks

    Intelligent wireless communications

    (for more topics: http://www.cacml.net/Call%20for%20Papers.html )

    *Publication and indexing:

    ★All accepted and registered papers will be included in CACML 2023 Conference Proceedings and published by ACM (ISBN: 978-1-4503-9944-9), which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus.

    ★CACML 2022 Conference Proceedings have been published by IEEE Conference Publishing Services in the IEEE Xplore (ISBN: 978-1-6654-8290-5) and indexed by Ei Compendex and Scopus successfully within 1 month after publication.

    *Submission Methods:

    1.Online Submission System: https://cmt3.research.microsoft.com/CACML2023

    2.Submission Email: cacmlatapplied-computing.net

    Submission guidelines: http://www.cacml.net/Submission%20Guidelines.html

    *Join the conference as:

    Authors:

    Authors are expected to submit full papers to the submission system for further review by our Technical Committees. All accepted papers after proper registration and presentation in the conference will be published and submitted for indexing.

    Presenters Only:

    The presenters are expected to submit abstracts only for presentation in the conference without paper publication in the conference proceedings.

    Listeners:

    Listeners are expected to attend the conference without paper presentation or publication.

    Reviewers:

    PhD-holders in the research fields of Algorithms, Computing and Machine Learning are welcome to be our reviewers and a certificate can be issued.

    Sponsors/Partners:

    If you are interested in cooperating with us, such as sponsoring or being a partner of CACML 2023, you are welcome to contact us at: cacmlatapplied-computing.net

    *Contact us:

    Website: http://www.cacml.net/

    Conference Secretary: Ms. Annie Yang

    Tel: +852 5319 3049

    Email: cacmlatapplied-computing.net

    If you have any question or request about our conference, no matter regarding submission, registration, participation or any further question, please send email to us and you will get feedback within 24 hours.


    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.