2023 6th International Conference on Signal Processing and Machine Learning (SPML 2023) will be held in Tianjin, China during 14-16 July, 2023. SPML 2023 is co-organized by Tianjin University of Science and Technology, China University of Mining and Technology (Beijing), North China University of Science and Technology and Xijing University. This conference is meant for researchers from academia, industries and research & development organizations all over the global interested in the areas of machine learning methods/ algorithms, signal processing theory and methods, data mining, artificial intelligence, optimization and applications to human brain disorders like epilepsy etc. Other applications of machine learning and signal processing techniques are also welcome. It will put special emphasis on the participations of PhD students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open questions. The conference will feature world-class keynote speakers in the main areas. Machine Learning usually plays an important role in the transition from data storage to decision systems based on large databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, multimedia, among others. Thus, Signal Processing techniques are very useful for these type of systems to automate processing and analysis techniques to retrieve information from data storage.
2023年第六届信号处理与机器学习国际会议(SPML2023)由天津科技大学、中国矿业大学(北京)、华北理工大学 和西京学院联合主办，会议将于2023年7月14-16日在中国天津科技大学(滨海校区)举行! 本次会议的目的是为涉及机器学习方法/算法、信号处理理论和方法、数据挖掘、人工智能等领域全球学术界、产业界和研究开发组织的研究人员提供一个交流平台。欢迎机器学习和信号处理领域的专家学者踊跃报名参加 ！（点击投稿）
Submission Deadline: May 15, 2023 投稿
Notification Date: June 5, 2023 通知
Registration Deadline: June 15, 2023 注册
Conference Dates: July 14-16, 2023 开会
Please submit your full paper/abstract to us via the Electronic Submission System.
Fast registration channel are opened for listeners.
December 30, 2022 News! The SPML 2023 will be held in Tianjin, China and the submission is open now.
November 21, 2022 News! The SPML 2022 proceedings has been indexed in EI compendex and Scopus!
October 29, 2022 News! The SPML 2022 proceedings has been included in the Digital Library.
August 30, 2022 News! The SPML 2022 was
sucessfully held online. (Click)
Each submission will be sent to be blind and peer reviewed by 2-3 reviewers. The reviewers will judge the paper based on the paper topic, coverage, innovation, integrality, literary presentation, technical depth and English expression. The revised papers should go through the second peer-reviewing and only the accepted papers will be published.
The accepted and registered papers can be published ACM International Conference Proceeding (ISBN is 979-8-4007-0757-5) which will be indexed by Ei Compendex and Scopus.
High quality papers will be recommended for special issues. The
recommended papers will be peer-reviewed by the Guest Editors
and the Chief Editor. Only accepted papers can be published in
the special issue as following.
1. Special Issue "Advances in Intelligent Communication System" of Journal Applied Sciences. It will be indexed within Scopus, SCIE (Web of Science), CAPlus / SciFinder, Inspec, and many other databases (IF: 2.838).
Publication and Indexing history：
SPML 2022 (ISBN: 978-1-4503-9691-2): ACM Digital Library Indexing: EI compendex and Scopus
SPML 2021 (ISBN: 978-1-4503-9017-0): ACM Digital Library Indexing: EI compendex and Scopus.
SPML 2020 (ISBN: 978-1-4503-7573-3): ACM Digital Library Indexing: EI compendex and Scopus.
SPML 2019 (ISBN: 978-1-4503-7221-3): ACM Digital Library Indexing: EI compendex and Scopus.
SPML 2018 (ISBN: 978-1-4503-6605-2): ACM Digital Library Indexing: EI compendex and Scopus.
SPML 2023 will feature a comprehensive technical program covering the latest research and innovation in Signal Processing and Machine Learning. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
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
Signal processing theory and methods
Adaptive Filtering & Signal Processing
Analog and Mixed Signal Processing
Array Signal Processing
Audio and Electroacoustics
Audio/Speech Processing and Coding
Bioimaging and Signal Processing
Biometrics & Authentification
Biosignal Processing & Understanding
Communication and Broadband Networks
Communication Signal processing
Data mining and knowledge discovey
Three-way decision models and analysis
Rough Set and Soft Computing
Granular Computing Theory and its Applications
Mining Images in Computer Vision
Mining Images and Texture
Mining Motion from Sequence
Network Analysis and Intrusion Detection
All the authors need to complete the registration first in order for participation. Please choose the correct role to attend the conference and pay the registration fee accordingly.
To register as an author, you're supposed to submit your full paper to SPML 2023, once your paper gets accepted after review, you can present your paper at the conference and your paper will be published.
If you just plan on making oral/poster presentation at the conference without pulishing your research work, you can register as a presenter for presentation only.
The fast channel for listener registration is open till July 5. For delegates who're interested in attending the conference but without any paper to present or publish.
SPML will be held annually as a leading platform for people working in the field Signal Processing and Machine Learning to communicate and exchange about their research results and the problems they have encountered during their research.
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