Important Dates
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Late Track Submission
Submission open
30 November 2024
Notification deadline
5 January 2025
Camera Ready
20 January 2025
Scope and Topics
EAI ICNGCCA 2024 focuses on the intersection of computing and communication technologies and their diverse applications in various domains. It provides a forum for participants to present their research findings, exchange ideas, and foster collaborations in areas such as artificial intelligence, machine learning, data analytics, computer vision, natural language processing, wireless communication, network security, and Internet of Things (IoT) applications. The conference features keynote speeches by distinguished experts, technical paper presentations, poster sessions, panel discussions, and workshops. Participants have the opportunity to showcase their research outcomes, share insights, and engage in thought-provoking discussions on the theoretical and practical aspects of intelligent computing and communication applications. EAI ICNGCCA 2024 aims to promote interdisciplinary research and encourage the development of innovative solutions that leverage intelligent computing and communication technologies to address real-world challenges. It also provides a platform for industry professionals to demonstrate and discuss the practical applications, potential benefits, and impact of these technologies in various sectors, such as healthcare, transportation, finance, education, and smart cities.
Topics
Track 1: Foundational Models of Machine Learning and Big Data
1. Artificial neural networks
2. Dimension reduction and metric learning
3. Algorithms and Programming Techniques for Big Data Processing and
functional analytics
4. Generative AI/XAI/GNN/GAN
5. Machine Learning Relating to Knowledge and Data Management
6. Machine Learning Principles of Information Extraction from Big Data
7. Machine Learning based Web Data Management and Deep Web
8. Machine Learning Cloud Services
9. Machine Learning IoT Services
10. Applications and Utilizations of Machine Learning and Big Data Analytics
across Various Diverse Engineering Disciplines (applications such
as:Bioinformatics,Medical informatics,Biological computation,Health
services,Recognition of human activities,Machine vision,Language
processing by computers, Environmental science etc.)
Track 2: Emerging trends for Big Data analytics for Next Generation computing
1. Big Data Science Models and Approaches
2. Big Data and High Performance Computing
3. Scalable Computing Models, Theories, and Algorithms
4. Models and Languages for Big Data Protection
5. Big Data Security and Privacy Analytics in Enterprise Management Models and
Practices
Publication
Top papers will be published in the Springer LNICST series and made available through the SpringerLink Digital Library (indexed by Scopus, ACM Digital Library, dblp, Google Scholar). Others will be made available for proceedings in EAI Transactions (Open Access)/Springer decided on by the European Alliance for Innovation.
By paying an additional $80, authors can publish their articles in the EAI Endorsed Transactions journal selected by the conference (Scopus and Ei Compendex indexed). The article’s publication is subject to the following requirements:
- It must be an extended version of the conference paper with a different title and abstract. In general, 30% of new content must be added.
- The article will be processed once the conference proceedings have been published.
- The article will be processed using the fast-track option.
- Once the conference proceedings are published, the corresponding author should contact us at [email protected] with the details of their article to begin processing.
Paper Submission
– Regular research papers, up to 14 pages in length (excluding references).
– Work-in-progress papers on early results, up to 7 pages in length (excluding references).
– Tools experience papers describing tools for performance evaluation of complex systems, up to 7 pages in length (excluding references).
– Vision papers on new, disruptive ideas (supported, if possible, by empirical evidence and measurements) that differ from prior published work, up to 7 pages in length (excluding references).
All submitted papers must be unpublished and not be submitted for publication elsewhere.
Author’s kit – Instructions and Templates (ACM)
Please prepare your paper using the 2-column format. View the ACM guidelines here, and please read the following instructions.
- We recommend using the ACM_SigConf format. See the templates here.
- Please be sure to use the correct Category and Subject Descriptor in your paper. See the above guidelines for instructions and visit http://www.acm.org/about/class/2012 for more information.
- For invited papers, please add the line “”(Invited Paper)”” after the title of your paper.
- Your paper must be submitted in PDF format. A PDF creator can be downloaded for Windows here.
- Failure to meet the formatting guidelines set by ACM, could result in your paper not being included in the ACM Digital Library.
- Please note that you will see this box at the bottom of the first page. This must remain in this location on your paper ie. at the bottom of the left column. This is the ACM copyright and document/conference identification.
Author’s kit – Instructions and Templates (EAI CORE)
Papers must be formatted using the EAI Core Authors’ Kit.
Please see all the relevant information in the documents attached:
Please make sure that your paper adheres to the format as specified in the instructions and templates.
When uploading the camera-ready copy of your paper, please be sure to upload both:
- a PDF copy of your paper formatted according to the above templates, andan archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and or Word source material prepared according to the above guidelines.
Author’s kit – Instructions and Templates (SPRINGER)
Papers must be formatted using the Springer LNICST Authors’ Kit.
Instructions and templates are available from Springer’s LNICST homepage:
Please make sure that your paper adheres to the format as specified in the instructions and templates.
When uploading the camera-ready copy of your paper, please be sure to upload both:
- a PDF copy of your paper formatted according to the above templates, and
- an archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and LaTeX or Word source material prepared according to the above guidelines.
