- About to CCNN 2025-The international event in the fields of cloud computing, communication, and neural networks in 2025 is about to be held. This is an international academic and industrial exchange conference that brings together top scholars, industry elites, and innovative enterprises from around the world. The purpose of this conference is to explore in depth the latest developments in cloud computing technology, innovative applications of communication technology, and cutting-edge research in neural networks and deep learning, promoting deep integration and collaborative development in the three major fields. The conference will revolve around multiple core topics, including but not limited to cloud computing platforms and architectures, virtualization and combination of IoT and cloud resources, cloud security and privacy protection, innovation and application of communication technology, basic theory and experimental techniques of neural networks, and application cases of deep learning in various fields. Through various forms such as keynote speeches, thematic forums, and technology exhibitions, participants will have the opportunity to gain a deeper understanding of the latest developments in the industry, share research results, and explore future development trends.
The convening of this conference not only provides a platform for the academic community to showcase the latest scientific research achievements, but also builds a bridge for the industry to exchange, cooperate and seek common development. We believe that through in-depth exchanges and discussions at this conference, we will further promote innovative development in the fields of cloud computing, communication, and neural networks, and contribute wisdom and strength to the digital transformation of the global economy and society.
Looking forward to gathering with you at the 2025 International Conference on Cloud Computing, Communication, and Neural Networks to jointly embark on a new chapter in this field!
-CALLFOR PAPERS-
Cloud computing:
Cloud resources
Cloud as a Service
Cloud applications
Blockchain system
Cloud Management and Operations
Cloud middleware framework
Cloud Quality and Performance
Cloud Security and Privacy
Large scale cloud applications
Cloud optimization and automation
Cloud application architecture
Cloud optimization and automation
Password algorithms and protocols
Cloud computing architecture and systems
Parallel and distributed computing
Cloud computing system and architecture
Social and mobile cloud applications
Cloud solution design pattern
Edge computing system and architecture
Cloud application performance and monitoring
Cloud centric network architecture
signal communication:
Optical communication
High speed network
communication software
Green Communication
mobile communication
Communication Theory
communication system
data communication
Ultra wideband communication
multimedia communication
Intelligent computing applications
Network Engineering and Security
Wireless Communication and Technology
Ubiquitous Network
Computer Networks and Communication
Communication Network and Its Management
Cryptography and Network Security
Information System Security and Management
Mobile communication and wireless technology
Information security algorithms and protocols
Intelligent Communication/Information Security
Communication channels and mobile devices
Neural network:
optimization grouping
knowledge engineering
artificial intelligence
human-computer interaction
Deep Learning
signal processing
information extraction
Robot control
Deep neural network
Convolutional Neural Network
Generative Adversarial Networks
Recursive neural network
Neural Network Architecture
Logic Programming
Natural language inference
Neural Networks in Medicine
Neural Symbol Hybrid Model
-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.
All full paper submissions to the CCNN 2025 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 CCNN 2025 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:
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 cccnn@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 (cccnn@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.