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CONF-CDS 2023 - 5th International Conference on Computing and Data Science (CONF-CDS 2023)

Date2023-07-14 - 2023-07-15

Deadline2023-07-07

VenueMacau, China China

KeywordsComputer science; Data science; Machine learning

Websitehttps://www.confcds.org

Topics/Call fo Papers

5th International Conference on Computing and Data Science (CONF-CDS 2023)
Date:2023.07.14-15
Location: Macau, China(online and on-site)
Website: https://www.confcds.org
Event enquiries:info-AT-confcds.org
Submission Deadline: 2022.11.4(early) 2023.07.07(regular) (email:submission-AT-confcds.org)
Organizing society : Eliwise Academy
Registration deadline: 2023.7.1
Key Words: Computing; Machine Learning; Data Science
Introduction: The 5th International Conference on Computing and Data Science (CONF-CDS 2023) is a leading conference on computing technology, machine learning, computer science and data science hosted by Eliwise Academy. CONF-CDS is open to international participants. It provides an excellent opportunity for scholars interested in computing and data science to share their findings and achievements, thus promoting communication and cooperation.
This conference aims to bring together researchers and practitioners from academia and industry to highlight the importance of computing technologies and data science as well as establish new collaborations in these areas. The conference looks for significant contributions to computing, data mining and data science in theoretical and practical aspects.
CALL FOR PAPER:
We invite submission of papers focusing on multiple topics in the fields of computing, machine learning, artificial Intelligence, and data science, ranging from theoretical foundations to novel models and algorithms.
To view the complete list of topics, please view https://www.confcds.org/topics.html for more information.
The deadline is 7th, July 2023. Please send your work to submission-AT-confcds.org
Publication:
Conference Proceedings
Accepted papers of CONF-CDS 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 journals or corresponding Special Issues. The journals listed below will be indexed by Science Citation Index (SCI)/Science Citation Index Expanded (SCI-E) and/or Social Science Citation Index (SSCI):
Applied Sciences [Impact Factor: 2.838; JCR - Q2 (Engineering, Multidisciplinary); CiteScore: 3.7]
For more information of registration and submission, please visit our official website: www.confcds.org We will update the changes on the official website and will announce the attendees with e-mails.
We invite submission of papers focusing on all aspects of computing and data science ranging from theoretical foundations to novel models and algorithms. We focus on challenges and applications in the fields of computing, machine learning, artificial Intelligence and data science. The topics of interest include but are not limited to:
Computing
Scientific Computing
Computer Modeling
Cloud Computing
Parallel Computing
Mobile Computing
Simulation
Computational Optimization
Distributed Computing
High Performance Computing
Soft Computing Theory and Applications
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
Data Science
Data Mining
Big Data
Databases
Data Management
Data Analytics
Social Network Analysis
Time Series Analysis
Forecasting
Data Security

Last modified: 2023-06-23 16:52:37