2023 8th International Conference on Machine Learning Technologies (ICMLT 2023)

1 year ago Posted By : User Ref No: WURUR105196 0
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  • TypeConference
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  • Location Stockholm, Sweden
  • Price
  • Date 10-03-2023 - 12-03-2023
2023 8th International Conference on Machine Learning Technologies (ICMLT 2023), Stockholm, Sweden
Conference Title
2023 8th International Conference on Machine Learning Technologies (ICMLT 2023)
Event Type
Conference
Conference Date
10-03-2023 to 12-03-2023
Location
Stockholm, Sweden
Organization Name / Organize By
ICMLT 2023
Organizing/Related Departments
International Conference on Machine Learning Technologies
Organization Type
Academy
ConferenceCategory
Both (Technical & Non Technical)
ConferenceLevel
International
Related Industries

Information Technology

Computer/Technology

Location
Stockholm, Sweden

Publication:

After registration and presentation, accepted papers will be published in Conference Proceedings by ACM (ISBN: 978-1-4503-9833-6), which will be submitted for Ei Compendex, Scopus, and other databases index.

Call for Paper:
Adaptive systems
Business intelligence
Biometrics
Data and web mining
Neural net and support vector machine
Pattern Recognition
Hybrid and nonlinear system
Intelligent and knowledge based system
Fuzzy set theory, fuzzy control and system

More topics via: http://www.icmlt.org/cfp.html


Agenda Overview:
March 10, 2023 Conference Check in, Materials Collection & Online Pre-test
March 11, 2023 Opening Remarks and Keynote Speeches in the Morning
March 11, 2023 Parallel Sessions in the Afternoon
March 12, 2023 Parallel Sessions

Submission Methods:
Full Paper (publication and oral presentation)
Abstract (oral presentation only)
Electronic Submission System (.pdf)  
http://confsys.iconf.org/submission/icmlt2023 or email: [email protected]    

Contacts:
Ms. Sukie Yao  
E-mail: [email protected]    
Tel: +86-28-83207566  

Registration Fees
Available
Registration Fees Details
Registration Ways
Email
Website
Address/Venue
Stockholm, Sweden  Stockholm, Sweden 
Contact
Ms. Sukie Yao

[email protected]

     +86-28-83207566