Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Linda Ye <[log in to unmask]>
Reply To:
Mon, 28 Aug 2023 23:17:38 -0400
text/plain (68 lines)
2023 Asia Conference on Machine Learning, Algorithms, Modeling and Data Analysis (MLAMDA 2023)

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:

*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: 
2. Submission Email: [log in to unmask] 

Submission guidelines: 

*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.
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: [log in to unmask]   

*Contact us:
Conference Secretary: Ms. Grace Lee
Tel: (+852) 6359 2147
Email: [log in to unmask] 

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. 


To unsubscribe from the DBWorld mailing list please visit and follow the unsubscribe directions given there.