Aims and scope

Journal of Computer Networks and Communications publishes articles, both theoretical and practical, investigating computer networks and communications. Articles explore the architectures, protocols, and applications for networks across the full spectrum of sizes (LAN, PAN, MAN, WAN…) and uses (SAN, EPN, VPN…). Investigations related to topical areas of research are especially encouraged, including mobile and wireless networks, cloud and fog computing, the Internet of Things, and next generation technologies.

Submission of original research, and focused review articles, is welcomed from both academic and commercial communities.

Special Issue on The 40th China Conference on Computer Applications (CCF NCCA 2025)
Día de Entrega: 2026-03-31

Description

In recent years, the remarkable progress in computer application technologies, including Artificial Intelligence (AI), Big Data, Large Models, Blockchain, the Internet of Things (IoT), Cloud Computing, 5G, and Digital Twins, has deepened their integration across various industries. This rapid development has not only expanded the horizons of technological solutions but also introduced unprecedented complexity in the interoperability technologies required to connect industrial equipment, information systems, business processes, enterprise products and services, and personnel. Consequently, constructing a more efficient, secure, and intelligent computer application technology system has become a significant worldwide challenge. Addressing this challenge presents both opportunities and long-standing difficulties in modernizing intelligent systems.

Moreover, the self-adaptive nature of intelligent models sets them apart in dealing with the dynamic and often unpredictable nature of engineering challenges. These models can continuously learn and adjust to changing external conditions, ensuring that the solutions they provide remain relevant and effective over time. This adaptability is particularly crucial in fields like transportation and environmental engineering, where the variables in play can shift rapidly due to factors such as environmental changes, policy updates, or technological advancements.

The purpose of this Special Issue is to showcase the latest developments, opportunities, and applications of advanced computer applications. We invite the submission of high-quality papers from both academia and industry that address the technical challenges and harness the potential of intelligent methods in application of computer science and encourage the submission of original research articles and comprehensive review papers that explore all aspects of this interdisciplinary field, aiming to solve existing problems and pave the way for future innovations. The primary objective of this Call for Papers is to assess the current state-of-the-art in addressing these complex interoperability challenges through advanced computer application technologies, identify knowledge gaps, and propose future research directions. This initiative seeks to foster a comprehensive understanding of how AI, Big Data, and other emerging technologies can be leveraged to build robust, interconnected systems across diverse landscapes including industry and transportation. We envision that the collective insights and collaborative efforts showcased at this conference will inspire and guide future innovations, ultimately leading to the advancement of both computer application technologies and the traditional engineering disciplines they seek to transform.

Potential topics include but are not limited to the following:

    Frontier Technology Applications of intelligent systems, including intelligent Energy, Manufacturing, Transportation, Finance, etc.
    Artificial intelligence technologies, including Large Models, Deep Learning, Feature Extraction and Selection
    Pervasive Computing and Environmental Intelligence
    Robotics and Intelligent Systems, including Virtual Reality, Augmented Reality, and Biometric Recognition
    Brain-Computer Interfaces
    Data Science and Big Data Technologies, including System Frameworks, Data Preprocessing, Visualization, Mining, and Privacy
    Cybersecurity Technologies including Future Grid Architectures, Distributed Computing, Cybersecurity, Mobile Communications
    Internet of Things and Sensor Networks
    Cloud Computing and Service Computing
    Smart Healthcare and Agriculture

Special Issue on The 6th International Conference on Computer Science and Educational Informatization（CSEI 2025）
Día de Entrega: 2026-03-31

Description

In recent years, the rapid evolution of computer science and the pervasive integration of information technology have precipitated a paradigm shift in the landscape of education. This advancement has not only expanded the horizons of educational methodologies but also offered unprecedented opportunities for addressing long-standing challenges in teaching and learning. By integrating sophisticated computational techniques and information systems, educators and researchers are now able to tackle complex educational problems with greater efficacy, enabling more personalized, data-driven, and technologically enhanced learning experiences.

The primary objective of this Special Issue / Conference Track is to showcase cutting-edge research and innovative practices at the intersection of Computer Science, Education Informatization, and Engineering Education. We aim to highlight novel methodologies, share real-world applications, and explore the profound impact of technology on educational theory and practice, leading to the advancement of both the field of educational technology and the disciplines it serves.

We welcome original research papers and educational papers that present novel methods, empirical studies, or insightful reviews. Research papers should demonstrate significant novelty in approach or findings, while review papers should comprehensively assess the current state of the art, identify critical gaps, and propose future research directions. This platform is intended to foster a vibrant exchange of ideas among computer educators, researchers, and practitioners. We anticipate that the diverse contributions will stimulate further innovation and inspire new collaborations, ultimately driving progress in educational technology and pedagogy.

Potential topics include but are not limited to the following:

    Educational Information Science and Technology, including information retrieval and intelligent information processing;
    Study on learning science and learning technologies, data mining and knowledge visualization
    Educational information resource management and shared service
    Educational informatization and big data for education
    The application of artificial intelligence in education
    Innovative application for the deeper integration of education practice and information technology
    University Engineering Education
    Data sharing
    Education quality analysis and evaluation based on artificial intelligence technology