The 4th International Conference on Signal Processing and Machine Learning (CONF-SPML 2024)

2024/01/15-2024/01/15
United States of America·Illinois·
会议形式: 线下会议
出版物: SPIE Conference Proceedings or Applied and Computational Engineering
主办单位:EWA Publishing
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会议简介 Brief Introduction

The 4th International Conference on Signal Processing and Machine Learning (CONF-SPML 2024) is a leading conference on signal processing and machine learning. Illinois Institute of Technology, Melbourne Institute of Technology, University of Portsmouth, and Al Ain University are co-organizers of CONF-SPML 2024. CONF-SPML 2024 is open to international participants. It provides an excellent opportunity for scholars interested in applied signal processing to share their findings and achievements, thus promoting communication and cooperation. This conference is supported by faculty members from the University of Edinburgh, University of California, Los Angeles, and University of Southern California.

To break the barriers of time and space and to provide seamless communication opportunities for worldwide scholars, CONF-SPML 2024 will be organized distributedly with dispersed venues. Transnational academic workshops are the decentralized co-organisers of CONF-SPML 2024 and will be held at Illinois Institute of Technology (Chicago, USA), Melbourne Institute of Technology (Melbourne, Australia), University of Portsmouth (Portsmouth, UK), and Al Ain University (Abu Dhabi, UAE). Besides these workshops, CONF-SPML 2024 is a hybrid conference, establishing an online session and welcoming participants from all countries and regions to join whenever and wherever possible.

The goal of this conference is to bring together researchers and practitioners from academia and industry to highlight the importance of signal processing and machine learning as well as establish 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.

重要信息 Highlights

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 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):

  • JCRQ2 - Sensors [Impact Factor: 3.9; CiteScore: 6.8]
  • JCRQ2 - Electronics [Impact Factor: 2.9; CiteScore: 4.7]
  • JCRQ2 - Machines [Impact Factor: 2.6; CiteScore: 2.1]
组织机构 Organization and Committee

Committee

General Chair

  • Marwan Omar, Illinois Institute of Technology

Technical Program Chair

  • Ammar Alazab, Melbourne Institute of Technology

Technical Program Committee

  • Ali Darejeh, UNSW Sydney
  • Sana Ullah Jan, Edinburgh Napier University
  • Yazeed Ghadi, Al Ain University
  • Festus Adedoyin, Bournemouth University
  • Mukhtar Ullah, FAST NUCES Islamabad
  • Mazhar Javed Awan, University of Management & Technology
  • Weijia Cao, Aerospace Information Research Institute, Chinese Academy of Sciences
  • Turgay Batbat, Erciyes University
  • Guoqing Xiang, Peking University
  • Ying Xing, Beijing University of Posts and Telecommunications

Organizing Chair

  • Stavros Shiaeles, University of Portsmouth

Organizing Committee

  • Abdullahi Arabo, University of the West of England
  • Shahzad Saleem, FAST-NUCES Islamabad
  • Handong Li, Northumbria University
  • Weiwei Jiang, Tsinghua University
  • Xinqing Xiao, China Agricultural University
  • Guozheng Rao, Tianjing University
  • Ruipeng Gao, Beijing Jiaotong University
  • Rudrendu Kumar Paul, Boston University
  • Mustafa Istanbullu, Çukurova University
  • Zhanwei Liu, Cornell University
  • Yi Guo, University of Southern California

Publicity Chairs

  • Sameena Naaz, Jamia Hamdard
  • Arshad Hassan Khan, FAST NUCES Islamabad
征稿主题 Call for Paper

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


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
  • web3.0.


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

  • 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
注册费用 Registration

Fees

Items Amount (VAT Included)
Registration Fee $500
Additional Page Fee $40
Presentation Processing Charge $185
出版信息 Publication

Conference Proceedings

Accepted papers of CONF-SPML 2024 will be published in SPIE Conference Proceedings or Applied and Computational Engineering, and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

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