International Conference on Signal Processing and Machine Learning SPML on July 12-14, 2024 in Qingdao, China

International Conference on Signal Processing and Machine Learning SPML on July 12-14, 2024 in Qingdao, China

International Conference on Signal Processing and Machine Learning (SPML) July 12, 2024 - Qingdao, China

SPML 2024 information:

1. SPML 2024 is supported by ACM Singapore Chapter and Shandong University of Science and Technology.

2. Accepted papers will be published in the International Conference Proceedings by ACM (ISBN: 979-8-4007-1719-2), which will be indexed by EI Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

3. Prof. Shiwen Mao from Auburn University in USA, Prof. Yiyu Yao from University of Regina in Canada and Prof. Chin-Chen Chang from Feng Chia University will be the keynote speakers.

4. Due to the COVID-19 pandemic, SPML 2020, SPML 2021 and SPML 2022 were special arranged into online conference.

All the accepted and registered papers in SPML 2020 have been published into ACM conference proceedings (ISBN: 978-1-4503-7573-3), which have been indexed by EI Compendex and Scopus.

All the accepted and registered papers in SPML 2021 have been published into ACM conference proceedings (ISBN: 978-1-4503-9017-0), which have been indexed by EI Compendex and Scopus.

All the accepted and registered papers in SPML 2022 have been published into ACM conference proceedings (ISBN: 978-1-4503-9691-2), which have been indexed by EI Compendex and Scopus.

SPML 2023 was held successfully online and offline combination in Tianjin, China during July 14-16, 2023. All the accepted and registered papers have been published into ACM conference proceedings (ISBN: 979-8-4007-0757-5), which will be indexed by EI Compendex and Scopus.

 

Submission and Contact Methods:

Submission Methods: https://www.zmeeting.org/submission/SPML2024

E-mail: [email protected]

Conference Specialist: Ms. Willow Wong

Wechat: 18149749902

Computer Vision & Virtual Reality

Image Processing & Understanding

Image/Video Processing and Coding

Natural Language Processing

Machine learning methods

Learning and adaptive control

Learning/adaption of recognition and perception

Learning for Handwriting Recognition

Learning in Image Pre-Processing and Segmentation

Learning in process automation

Learning of appropriate behaviour

Learning of action patterns

Learning robots

Feature extractions

Support vector machines (SVM)

Name: ACMSC
Website: http://www.acm-sg.org/

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