4th International Conference on Machine Learning & Trends (MLT 2023)

March 25 ~ 26, 2023, Sydney, Australia

SCOPE

4th International Conference on Machine Learning & Trends (MLT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & its Trends. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.


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 & its Trends.

TOPICS OF INTEREST 

Paper Submission

Authors are invited to submit papers through the conference Submission System by CLOSED. 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 MLT 2023, after further revisions, will be published in the special issue of the following journals


PAPER SUBMISSION 

SAMPLE  TEMPLATE 

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms  

OTHER CONFERENCES 

PAST EVENTS 

CONFERENCE PROCEEDINGS

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.  

COURTESY 

SUPPORTED BY 

SPEAKERS 

Larry Zhang

USA 

Muyang Li

Shanghai Jiao Tong University, China 

Yinjie Wu

USA 

Pawankumar Sharma

University of the Cumberlands

USA 

Xavier Molinero Albareda

Universitat Politècnica de Catalunya

Spain 

Jun Wu

Georgia Institute of Technology

United States 

Ziniu Shen

Nanjing University of Posts and Telecommunications

China 

Li Guo

Xiangtan University

China 

Yinyin Shi

Xiangtan University

China 

Aishatu Ibrahim Birma

Borno State University

Nigeria