MLAMDA 2023 - 2023 Asia Conference on Machine Learning, Algorithms, Modeling and Data Analysis (MLAMDA 2023)

Website http://www.mlamda.net/ | Edit Freely

Category Machine Learning, Algorithms, Modeling and Data Analysis

Deadline: November 08, 2023 | Date: December 08, 2023-December 10, 2023

Venue/Country: Xiamen, China

Updated: 2023-08-08 17:12:44 (GMT+9)

Call For Papers - CFP

Website: http://www.mlamda.net/

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

Conference Date: December 8-10, 2023

2023 Asia Conference on Machine Learning, Algorithms, Modeling and Data Analysis (MLAMDA 2023) will be held in Xiamen, China during December 8-10, 2023. It is sponsored by The International Society for Applied Computing (ISAC) and The Technical Institute for Engineers (T.I.E.).

During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Machine Learning, Algorithms, Modeling and Data Analysis. 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. Dapeng Oliver Wu, City University of Hong Kong, China

Keynote Speaker II:

Prof. Xiangjie Kong, Zhejiang University of Technology, China (IEEE Senior Member)

Keynote Speaker III:

Prof. Bekim Fetaji, Mother Teresa University (MTU) – Skopje, North Macedonia

Keynote Speaker IV:

Prof. Kannimuthu Subramaniyam, Karpagam College of Engineering, India

*Call for papers:

Deep and Reinforcement Learning

Analysis of algorithms

Agent Based Simulation

Learning for streaming data

Machine Learning for Network Slicing Optimization

Ant colony algorithm

Analytical and Stochastic Modeling Techniques and Applications

Learning for structured and relational data

Machine Learning for 5G system Approximation algorithm

Bond Graph Modeling

Mining multi-source and mixed-source information

Machine Learning for User Behavior Prediction Combinatorial search

Chaos Modeling, Control and Signal Transmission

Mixed-type and structure data analytics

New Innovative Machine Learning Methods

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

*Publication and indexing:

★All accepted papers will be published in MLAMDA 2023 conference proceedings, which will be submitted for indexing by Ei Compendex and Scopus.

*Submission Methods:

1. Online Submission System: https://cmt3.research.microsoft.com/MLAMDA2023

2. Submission Email: mlamdaapplied-computing.net

Submission guidelines: http://www.mlamda.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 Machine Learning, Algorithms, Modeling and Data Analysis 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 MLAMDA 2023, you are welcome to contact us at: mlamdaapplied-computing.net

*Contact us:

Website: http://www.mlamda.net/

Conference Secretary: Ms. Grace Lee

Tel: (+852) 6359 2147

Email: mlamdaapplied-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.