The 5th International Conference on Signal Processing and Machine Learning (CONF-SPML 2025) is a leading conference in the fields of signal processing and machine learning. CONF-SPML 2025 serves as an international platform for researchers, academics, industry practitioners, and university students around the world to converge and discuss the latest advancements, methodologies, and applications in signal processing and machine learning. It provides an excellent opportunity for both scholars and students interested in signal processing and machine learning to present their findings and achievements, thus promoting communication and cooperation.
To break the barriers of time and space and to provide seamless communication opportunities for worldwide participants, CONF-SPML 2025 will be organized distributedly with a series of workshops that will locate at different universities around the world.
CONF-SPML 2025 aims to bring together researchers and practitioners from academia and industry to highlight the importance of signal processing and machine learning as well as to boost new collaborations in these areas. The conference looks for significant contributions to trending technologies in signal processing and biomedical signal processing in theoretical and practical aspects.
The topics of interest include but are not limited to:
January 12, 2025
Type | Early Bird Submission | Regular Submission |
---|---|---|
Paper Submission | October 30, 2024 | January 5, 2025 |
Review Process | 2 weeks | 2 weeks |
Revise & Acceptance | 2 weeks | 1 week |
Registration & Payment | 2 weeks | 1 week |
We call for excellent papers and review them according to the requirements of each journal. Qualified submissions will be directly recommended for publication in the following journals or corresponding Special Issues. The journals listed below have been indexed by Science Citation Index (SCI)/Science Citation Index Expanded (SCI-E) and/or Social Science Citation Index (SSCI):
Please refer to the 'Information > Publication' page for specific recommendation rules and guidelines.
Accepted papers of CONF-SPML 2025 will be published in IET Conference Proceedings (Online ISSN: 2732-4494) or Applied and Computational Engineering (Print ISSN: 2755-2721), and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, CNKI , and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.
Please follow this link to find more info & requirements about submitting your paper
Submission InfoThe submission will first be reviewed for its topic and length, then go through an originality check. The peer-review process will begin soon after the paper is found to be qualified. The paper will be sent to have a double-blind peer review by two reviewers. They will judge the paper based on the theme, coverage, innovation, integrity, depth, and language. If the paper is accepted, notification of acceptance and review comments will be sent to the author via email. The actual review time may be different under certain situations.
Title of Speech: Collaborative Intrusion Detection System Using Blockchain Technology
Title of Speech: Sensor Fault Diagnostic Using Machine Learning
Title of Speech: Deep Learning for Food Monitoring
CONF-SPML cooperates with the following journals and qualified papers have the opportunity to be recommended for publication in these journals.
Machines (ISSN 2075-1702) [IF 2.6, CiteScore 2.1 (2022)] is an international, peer-reviewed, open access journal on machinery and engineering published monthly online by MDPI. Journal Rank: JCR - Q2 (Engineering, Mechanical) / JCR- Q3 (Engineering, Electrical & Electronic). Manuscripts are peer-reviewed and a first decision provided to authors approximately 15 days after submission; acceptance to publication is undertaken in 2.9 days (median values for papers published in this journal in the first half of 2023).
For more information: https://www.mdpi.com/journal/machines
Sensors is an international, peer-reviewed, open access journal [JCR-Q2, Impact Factor: 3.9; CiteScore: 6.8 (2022)], which publishes reviews, research papers, and communications in various fields, including the science and technology of sensor and its applications. The goal of the journal is to encourage scientists to publish their experimental and theoretical results in as much detail as possible.
For more information: https://www.mdpi.com/journal/sensors