WELCOME TO ICDMCC 2024 !

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- About to ICDMCC 2024- The 2024 International Conference on Digital Modeling and Cloud Computing will be held grandly in Sanya, China The purpose of this conference is to gather elite scholars, industry leaders, and innovative enterprises from around the world in the field of digital modeling and cloud computing, to jointly explore the latest developments in digital modeling technology and the application prospects of cloud computing in various industries. The conference will focus on the innovative application of digital modeling technology, optimization and development of cloud computing platforms, and the deep integration of the two in fields such as smart city construction and industrial intelligence. Participants will have the opportunity to listen to experts and scholars from around the world sharing their research results and practical experience. At the same time, they can also participate in technical exchanges and industry docking activities, expand cooperation opportunities, and jointly promote the development of digital modeling and cloud computing technology. We sincerely invite experts, scholars, industry leaders, and representatives of innovative enterprises from around the world in the field of digital modeling and cloud computing to participate in this conference, in order to jointly create a better future for digital modeling and cloud computing.
- CALL FOR  PAPERS -

Theme1 Algorithms and systems for big data search Data uncertainty management Big data analysis Distributed search and peer-to-peer search Smart contracts Big data search architecture, scalability, and efficiency Data collection, integration, cleaning, and best practices Big data visualization and analysis Blockchain technology Computational modeling and data integration Large recommendation systems and social media systems Link and Graph Mining Semantic based data mining and data preprocessing image processing Multimedia communication technology Communication signal processing Adaptive signal processing Speech signal processing image processing Data analysis Modeling methods Modeling research data mining data warehouse Big data technology Data driven 3D technology Point cloud data Data processing; Intelligent agent modeling Modeling and prediction Innovative database technology and data processing Model fitting and data analysis Data Warehouse and Knowledge Discovery Database management and information retrieval Mathematical models and regression analysis The Application of Machine Learning and Deep Learning in Data Modeling Fusion and integration of multi-source data Time series analysis and prediction Spatial Data Analysis and Geographic Information Systems Complex Network Analysis and Graph Algorithms Data mining and knowledge discovery Theme2 Cloud computing systems and architecture Edge computing system and architecture Social and mobile cloud applications Large scale cloud applications Encryption algorithms and protocols Fault tolerance, high availability, and reliability Resource, Energy, and Data Management Storage systems and new technologies SDN and Data Center Network Blockchain system Information technology in enterprises High order spectral analysis Hardware Implementation of Signal Processing Image processing and understanding Computer Vision and Virtual Reality Multimedia and human-computer interaction Statistical learning and pattern recognition Artificial Intelligence and Neural Networks Internet and wireless communication service providers Database technology Parallel, parallel, and distributed systems Computer Network Technology and Equipment intelligent network Computer Networks and Communications

-About Plagiarism Check-

Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication from previously published content should be less than 20%; If the amount of duplication is 20% - 35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be rejected. Please note that there will be no refund for no-shows.

中文特别声明

出版社在论文出版前会对论文重复率进行检测,重复率大于20%的稿件将被拒绝出版;重复率不大于20%的稿件中,如有整段大面积的直接复制其他作者文章内容的情况,也会被拒绝出版。以上两种涉及抄袭的情况,一旦被出版社证实,文章将被拒绝出版,并且不退回任何会议注册费用。
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-Record-

All full paper submissions to the ICDMCC 2024 could be written in English and will be sent to at least two reviewers and evaluated based on originality, technical or research content or depth, correctness, relevance to conference, contributions, and readability. All accepted papers of ICDMCC 2024 will be published in the conference proceedings, which will be submitted to EI Compendex, Scopus for indexing.

-Submission Portal-

If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
张老师 TEL:19980545614 (微信同号) QQ:2130572537 E-mail:icdmcc@sub-paper.com
Delegates are encouraged to submit their papers/abstracts to the conference. Good quality papers will be selected by the organizing committee and Prof. Soteris Kalogirou, the editor in chief. After it, the authors will be invited to extent their papers/abstracts and submit them to icdmcc@sub-paper.com. The normal size of research papers is 4,000-6,000 words excluding abstract and references.
As a platform for global academic communication, the quality of conference publication has always an aspect attracting much of our attention. To ensure quality of our publication and to better serve the peers in academic circle, we now call for reviewers among professionals and experts of the world. Professionals and experts who hold PhD (doctoral) degree in the conference related areas are encouraged to join in us and together, we will work hard to become a world-class academic conference. Please send us your CV by email (icdmcc@sub-paper.com) if you are interested in it.
Contributors are encouraged to submit papers / abstracts to the conference. The organizing committee will select high-quality papers and recommend them to SCI/SSCI journals. For specific matters, please contact the person in charge of the conferrence.
2024-11-27
2024-12-05
2024-12-04
About a week afterthe submission
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