International Conference on Information Theory and Machine Learning ITEORY on December 30-31, 2023 in Sydney, Australia

International Conference on Information Theory and Machine Learning ITEORY on December 30-31, 2023 in Sydney, Australia

International Conference on Information Theory and Machine Learning (ITEORY) December 30, 2023 - Sydney, Australia

International Conference on Information Theory and Machine Learning

(ITEORY 2023)

December 30 ~ 31, 2023, Virtual Conference

https://iteory2023.org/

Scope & Topics

International Conference on Information Theory and Machine Learning (ITEORY 2023)

will provide an excellent international forum for sharing knowledge and results in theory,

methodology and applications of Information Theory. 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 area soft Information Theory,

Applications and Machine Learning.

Topics of interest include, but are not limited to, the following

 Big Data Analytics, Data Science

 Coded Modulation, Data Compression, Sequences

 Communications and Networks

 Deep Learning for Communications

 Detection and Estimation of Mobile Communications

 Emerging Applications of Information Theory

 Information Theory in Statistics , Biology, Computer Science

 Learning and Inference

 Machine Learning

 Multi-User Information Theory

 Optical Communications Complexity and Cryptography

 Pattern recognition and Learning

 Quantum Theory and Coding

 Shannon Theory, Coding Theory and Techniques

 Signal Processing, Speech/Image Coding

Paper Submission

Authors are invited to submit papers through the conference Submission System by October

14, 2023. 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 International Journal on Cybernetics & Informatics

(IJCI) (Confirmed).

Selected papers from ITEORY 2023, after further revisions, will be published in the special

issues of the following journals

 International Journal on Information Theory (IJIT)

 Machine Learning and Applications: An International Journal (MLAIJ)

 International Journal on Computational Science & Applications (IJCSA)

 International Journal in Foundations of Computer Science & Technology (IJFCST)

 International Journal of Computational Science and Information Technology

(IJCSITY)

 Advanced Computational Intelligence: An International Journal (ACII)

 International Journal on Natural Language Computing (IJNLC)

 Information Technology in Industry (ITII)

Important Dates

 Submission Deadline : October 14, 2023

 Authors Notification : November 04, 2023

 Registration & Camera-Ready Paper Due : November 11, 2023

Contact Us

Here's where you can reach us : [email protected] (or) [email protected]

International Conference on Information Theory and Machine Learning

(ITEORY 2023)

December 30 ~ 31, 2023, Virtual Conference

https://iteory2023.org/

Scope & Topics

International Conference on Information Theory and Machine Learning (ITEORY 2023)

will provide an excellent international forum for sharing knowledge and results in theory,

methodology and applications of Information Theory. 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 area soft Information Theory,

Applications and Machine Learning.

Topics of interest include, but are not limited to, the following

 Big Data Analytics, Data Science

 Coded Modulation, Data Compression, Sequences

 Communications and Networks

 Deep Learning for Communications

 Detection and Estimation of Mobile Communications

 Emerging Applications of Information Theory

 Information Theory in Statistics , Biology, Computer Science

 Learning and Inference

 Machine Learning

 Multi-User Information Theory

 Optical Communications Complexity and Cryptography

 Pattern recognition and Learning

 Quantum Theory and Coding

 Shannon Theory, Coding Theory and Techniques

 Signal Processing, Speech/Image Coding

Paper Submission

Authors are invited to submit papers through the conference Submission System by October

14, 2023. 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 International Journal on Cybernetics & Informatics

(IJCI) (Confirmed).

Selected papers from ITEORY 2023, after further revisions, will be published in the special

issues of the following journals

 International Journal on Information Theory (IJIT)

 Machine Learning and Applications: An International Journal (MLAIJ)

 International Journal on Computational Science & Applications (IJCSA)

 International Journal in Foundations of Computer Science & Technology (IJFCST)

 International Journal of Computational Science and Information Technology

(IJCSITY)

 Advanced Computational Intelligence: An International Journal (ACII)

 International Journal on Natural Language Computing (IJNLC)

 Information Technology in Industry (ITII)

Important Dates

 Submission Deadline : October 14, 2023

 Authors Notification : November 04, 2023

 Registration & Camera-Ready Paper Due : November 11, 2023

Contact Us

Here's where you can reach us : [email protected] (or) [email protected]

Name: International Conference on Information Theory and Machine Learning (ITEORY 2023)
Website: https://iteory2023.org/
Address: Sydney, Australia

International Conference on Information Theory and Machine Learning (ITEORY 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. 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 area soft Information Theory, Applications and Machine Learning
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