CONF-SPML 2023

About CONF-SPML 2023

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.

Updated February 25, 2023: CONF-SPML 2023 has officially been online! We sincerely invite you to participate in the conference through commenting on the videos to exchange ideas and inspirations with our speakers. You may Click HERE to get access to the online conference. Please enjoy!

Best Papers

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.

Topics

The topics of interest include but are not limited to:

  • Artificial Intelligence Tools & Applications
  • Hybrid Intelligent Systems
  • Natural Language Processing
  • Computer Vision
  • Image process
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Intelligent System Architectures
  • Neural Networks and applications
  • Pervasive Computing and Ambient Intelligence
  • Reasoning and Evolution
  • Semantic Web Techniques and Technologies
  • Web Intelligence Applications and Search

  • Signal Processing for Communications
  • Radar & Array Processing
  • Seismic Signal Processing
  • Smart Grid Applications
  • Information Theory
  • Mobile Signal Processing

  • Big Data
  • IoT
  • Deep Learning
  • Autonomous Vehicles
  • Digital Home
  • Wearable Device
  • Immersive Computing
  • Social & Cloud Signal Processing
  • Green Signal Processing
  • M2M
  • Open Source Tools
  • Web 3.0.

  • Bio-Signal Processing
  • Medical Image Processing
  • 3D/4D Modeling
  • Multi-Dimensional Reconstruction
  • Multi-Modal Analysis
  • Health Informatics
  • Digital Pathology
  • Computer-Aided Diagnosis

Important Dates

Conference Date

February 25, 2023

Submission & Payment Deadline

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

Publication

Conference Proceedings

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.

Journals

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:

Submission & Template

Please follow this link to find more info & requirements about submitting your paper

Submission Info

Review Process

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.

Previous Speakers

Aydogan Ozcan

Aydogan Ozcan, Ph.D.

Chancellor's Professor at UCLA, Volgenau Chair for Engineering Innovation

Title of Speech: Deep Learning-enabled Computational Microscopy and Sensing

Tharmalingam Ratnarajah

Tharmalingam Ratnarajah, Ph.D.

Professor in Digital Communications and Signal Processing, Institute for Digital Communications, University of Edinburgh

Title of Speech: Transceiver Design for FD Cellular - MIMO Radar Coexistence

Kim, Hosung

Kim, Hosung, Ph.D.

Assistant Professor of Neurology, University of Southern California

Title of Speech: Motion Synthesis and Retrospective Correction for Motion Artifact on Brain MRI

Partner Journals

CONF-SPML cooperates with the following journals and qualified papers have the opportunity to be recommended for publication in this journal.

MDPI

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

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

apply science

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

I visualize a time when we will be to robots what dogs are to humans, and I'm rooting for the machines.

Claude Shannon