The 3rd International Conference on Signal Processing and Machine Learning (CONF-SPML 2023) is a leading annual conference. Academics, researchers, and students from across the world are all welcome to exchange findings and ideas to draw further inspiration in these research fields. This conference is supported by faculty members from the University of Edinburgh, University of California, Los Angeles, and University of Southern California.
CONF-SPML 2023 encourages communication and collaboration, hoping to provide an international platform for its participants to present, share, and learn the latest advance and development in signal processing and machine learning. It's a great opportunity to deepen your understanding of related topics.
Thanks to the efforts and contributions of all sides, CONF-SPML 2023 has completed the processing of manuscript submissions. We have received plenty of high-quality papers from authors worldwide. After several rounds of peer review, four papers have been selected as the best of CONF-SPML 2023:
Music Classification with Convolutional and Artificial Neural Network by Zuge Li, Haitao Peng, Siwei Tan, Fangyu Zhu
An Integrated Functionality Framework for Robust Video Streaming Heterogeneous Networks by D.Kirubha, Sathishkumar V E, Baiju B V, Maheshwari V, Prasanna M
A Layer-based Random SGD for Distributed Training of RNNs by Zhongyu Zhang
Video Action Recognition: A Survey by Qingqing Duan
It is a real pleasure to receive and publish so many excellent works in the conference proceedings. We are looking forward to more fine pieces submitted to future sessions.
The topics of interest include but are not limited to:
February 25, 2023
|Type||Early Bird Submission||Regular Submission|
|Paper Submission||September 24, 2022||January 6, 2023|
|Notification of Acceptance||2 weeks||2 weeks|
|Registration & Payment||October 12, 2022||January 31, 2023|
Accepted papers of CONF-SPML 2023 will be published in IOP Journal of Physics: Conference Series (Print ISSN: 1742-6588) or Applied and Computational Engineering (Print ISSN: 2755-2721), and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Scopus, Google Scholar, and other databases for indexing.
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 Science Citation Index Expanded indexed journals:
Please follow this link to find more info & requirements about submitting your paperSubmission Info
The 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: Deep Learning-enabled Computational Microscopy and Sensing
Title of Speech: Transceiver Design for FD Cellular - MIMO Radar Coexistence
Title of Speech: Motion Synthesis and Retrospective Correction for Motion Artifact on Brain MRI
CONF-SPML cooperates with the following journals and qualified papers have the opportunity to be recommended for publication in this journal.
Sensors is an international, peer-reviewed, open access journal (Impact Factor: 3.847; CiteScore - Q1 (Instrumentation)), 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
Algorithms is an international, peer-reviewed, open access journal (CiteScore - Q2 (Numerical Analysis)), which publishes reviews, research papers, and communications in various fields, including algorithms and their 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/algorithms
Applied Sciences is an international, peer-reviewed, open access journal (Impact Factor: 2.838; CiteScore - Q2 (General Engineering)), which publishes reviews, research papers, and communications in various fields, including applied natural sciences. 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/applsci