3rd International Conference on Signal Processing and Machine Learning (CONF-SPML 2023)
Date:2023.02.25
Location: Oxford, UK
Submission Deadline:2023.1.6/2023.2.11 (email: submission@confspml.org)
Registration Deadline； 2023.1.31/2023.2.20
Website: https://www.confspml.org/
Event enquiries email address：info@confspml.org
Contact Person: Grace C
Cost: $750
Organizing society : Eliwise Academy
Key Words: Machine Learning; Applied Signal Processing; Trending Technologies in Signal Processing; Biomedical Signal Processing

Introduction:
The 3rd International Conference on Signal Processing and Machine Learning (CONF-SPML 2023) is a leading conference hosted by Eliwise Academy. Academics, researchers, and students from across the world are all welcome to exchange findings and ideas for drawing further inspiration in these research fields.
CONF-SPML 2023 encourages communication and collaboration, hoping to provide an international platform for its participants to present, share, and learn the latest advances in signal processing and machine learning. It is a great opportunity to deepen your understanding of the related topics.

CALL FOR PAPER:
Publication:
Conference Proceedings
Accepted papers of CONF-SPML 2023 will be published in conference proceedings and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, DOAJ, 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:

Sensors (Impact Factor: 3.847; CiteScore - Q1 (Instrumentation))
Systems (Impact Factor: 2.895; CiteScore - Q2 (Modeling and Simulation))
Mathematical Problems in Engineering(Impact Factor: 1.430; CiteScore: 2.1)
Discrete Dynamics in Nature and Society(Impact Factor: 1.457; CiteScore: 1.6)

Topic List: https://www.confspml.org/topics.html
We invite submission of papers focusing on all aspects of signal processing and machine learning ranging from theoretical analysis to practical research. We focus on challenges and applications in the fields of signal processing and machine learning. The topics of interest include but are not limited to:

Machine Learning
Artificial Intelligence Tools & Applications
Hybrid Intelligent Systems
Natural Language Processing
Computer Vision
Image Processing
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

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

Trending Technologies in Signal Processing
Big Data
Deep Learning
Digital Home
Immersive Computing
Green Signal Processing
Open Source Tools
IoT
Autonomous Vehicles
Wearable Device
Social & Cloud Signal Processing
M2M
Sensor Network

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