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CONF-CDS 2023 : 5th International Conference on Computing and Data Science (CONF-CDS 2023) | |||||||||||||||
Link: https://www.confcds.org | |||||||||||||||
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Call For 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@confcds.org Submission Deadline: 2022.11.4(early) 2023.04.04(regular) (email:submission@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: Publication: The paper accepted by CONF-CDS 2023 is planned to be published in Lecture Notes on Data Engineering and Communications Technologies or Applied and Computational Engineering, which will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, CNKI, DOAJ, Inspec, Scopus, Google Scholar, and other databases for indexing. Topic List: https://www.confcds.org/topics.html 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 |
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