DMSNIJ covers emerging transformations in multimedia systems, network architectures, immersive media, cloud-based communications, and AI-driven content technologies. The journal highlights the convergence of media engineering, advanced networking, machine intelligence, and interactive digital solutions. By fostering interdisciplinary collaboration, DMSNIJ aims to accelerate innovation in digital media delivery, communication efficiency, network reliability, user experience, and intelligent media processing.
The journal welcomes high-quality theoretical developments, practical applications, system designs, algorithmic advancements, and experimental studies that contribute to modern digital media and networking research.
The primary aim of Digital Media Systems and Network Innovation Journal is to promote high-level research and innovation at the intersection of digital media technologies and advanced communication networks. The journal strives to:
Publish cutting-edge research that advances multimedia processing, network performance, and communication intelligence
Support innovation in digital ecosystems, including streaming, content delivery, IoT, virtual environments, and smart communication systems
Bridge academic research and real-world applications in media technology and network engineering
Provide a platform for emerging technologies such as AI-driven media, intelligent networks, immersive media design, and next-generation communication systems
Foster interdisciplinary collaboration across computer science, media engineering, networking, AI, and communication studies
DMSNIJ invites original research articles, review papers, short communications, technical notes, and applied system studies in the following areas, but not limited to:
Multimedia systems and applications
Digital content creation, processing, and compression
Audio–video coding, streaming technologies, and broadcasting systems
Immersive media: AR/VR/XR, 3D media, virtual production
Intelligent media analysis and AI-based content generation
Next-generation networks (5G/6G), SDN/NFV architectures
Wireless communication systems, mobile networks, IoT communication
Network optimization, traffic engineering, and congestion management
Cloud and edge computing for media delivery
Distributed communication environments and decentralized systems
Machine learning for media analytics
Deep learning in video understanding, speech recognition, image processing
AI-assisted network management and automation
Intelligent content recommendation systems
Autonomous systems for adaptive streaming and QoE enhancement
Secure media transmission and digital rights management
Cybersecurity solutions for multimedia systems
Privacy-preserving communication technologies
Blockchain applications in digital media and content authentication
UX design for digital platforms and interactive systems
Human-centered computing in multimedia applications
Social media systems, digital platforms, and communication behavior
Smart environments and user-adaptive media systems
Smart cities and intelligent communication networks
Digital media economics and technology policy
Green networking, energy-efficient media processing
Quantum networking and future communication paradigms
Digital Media
Systems and Network Innovation Journal is an international, peer-reviewed
journal dedicated to publishing high-quality research that advances digital media technologies, communication systems,
and innovative network architectures. The journal provides a
multidisciplinary platform for researchers, academicians, industry experts, and
practitioners working at the intersection of media systems and modern networking technologies.
The journal welcomes the following types of
submissions:
·
Original Research Articles
·
Review Articles
·
Short Communications
·
Technical Notes
·
Case Studies
·
Survey Papers
·
Perspective and Opinion Articles
·
Digital Media Processing and Systems
·
Multimedia Computing and Applications
·
Image, Audio, and Video Processing
·
Media Compression and Coding
·
Content Delivery Networks (CDN)
·
5G/6G Communication Systems
·
Network Protocols and Architectures
·
Wireless and Mobile Networks
·
Internet of Things (IoT) and Media Networks
·
Cloud, Edge, and Fog Networking
·
Social Media Analytics
·
Cybersecurity for Media and Networks
·
AI and Machine Learning for Media and Networking
·
Virtual Reality (VR) and Augmented Reality (AR)
Systems
·
Manuscripts must be written in clear, grammatically correct English.
·
Authors may use British or American English
consistently.
A standard manuscript should include:
1.
Title Page
2.
Abstract
3.
Keywords (4–6)
4.
Introduction
5.
Related Work / Literature Review
6.
Methodology / System Model
7.
Experimental Results and Discussion
8.
Conclusion and Future Scope
9.
Acknowledgements (if applicable)
10. Funding
Information
11. Conflict
of Interest Statement
12. References
·
File format: DOC or DOCX
·
Font: Times
New Roman
·
Font size: 12 pt
·
Line spacing: 1.5
·
Margins: 1
inch on all sides
·
Page numbers: Continuous
·
Abstract length: 150–250 words
·
The abstract should clearly describe the objective, methodology, key results, and
significance of the research.
·
Provide 4–6
relevant keywords for indexing and discoverability.
·
All figures and tables must be numbered
consecutively and cited in the text.
·
Provide clear captions for figures (below) and
tables (above).
·
Images should be high quality (minimum 300 dpi).
·
Multimedia files (audio/video) may be submitted
as supplementary material where applicable.
·
Equations must be editable and numbered
sequentially.
·
Variables and symbols should be defined upon
first use.
·
Algorithms and flowcharts should be clearly
formatted and labeled.
·
References must be accurate and complete.
·
The journal accepts IEEE / APA / Harvard citation styles (use one
consistently).
·
All references cited in the text must appear in
the reference list.
·
The journal follows strict publication ethics and integrity standards.
·
Plagiarism, data fabrication, and duplicate
submissions are strictly prohibited.
·
Manuscripts may be screened using plagiarism
detection software.
·
All submissions undergo a double-blind peer review process.
·
Each manuscript is evaluated by at least two
independent reviewers.
·
Editorial decisions include: Accept, Minor
Revision, Major Revision, or Reject.
·
Digital Media
Systems and Network Innovation Journal follows an open-access publishing model.
·
Details regarding Article Processing Charges (if
applicable) will be communicated after initial editorial assessment.
·
Authors retain the copyright of their published
work.
·
Articles are published under an open-access license, allowing free
access and distribution with proper citation.
Journal : Digital Media Systems and Network Innovation Journal
Journal : Digital Media Systems and Network Innovation Journal
Journal : Digital Media Systems and Network Innovation Journal
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