Frontiers of Modern Computer Science Research (FMCSR) is an international, peer-reviewed journal committed to publishing groundbreaking research that drives innovation across all domains of contemporary computer science. As computing technologies evolve at an unprecedented pace, the journal provides a global platform for researchers, technologists, and industry professionals to disseminate high-impact findings that shape the future of intelligent systems, digital transformation, and computational methodologies.
FMCSR emphasizes both theoretical advancements and practical applications, spanning foundational computing concepts to emerging frontiers such as artificial intelligence, cybersecurity, big data analytics, quantum computing, and autonomous systems. The journal encourages interdisciplinary contributions that blend computer science with engineering, mathematics, cognitive science, life sciences, and societal applications.
Through rigorous peer review and commitment to academic excellence, the journal aims to strengthen the understanding, design, development, and deployment of next-generation computational systems. FMCSR serves as a bridge between research innovation and real-world solutions, supporting global progress in science, industry, and technology.
The aim of Frontiers of Modern Computer Science Research is to advance high-quality scholarship and innovative research across the full spectrum of computer science. The journal seeks to:
Promote cutting-edge studies that expand theoretical knowledge and computational principles
Support the development of intelligent, secure, scalable, and efficient computing systems
Encourage interdisciplinary research addressing modern technological challenges
Provide a premier forum for emerging technologies, transformative methodologies, and novel applications
Foster collaboration between academia, industry, and research institutions worldwide
FMCSR welcomes original research papers, review articles, short communications, and technical reports in the following areas (but not limited to):
Deep learning, reinforcement learning, and neural network architectures
Natural language processing, computer vision, speech and pattern recognition
AI ethics, explainable AI, trustworthy and responsible AI
Intelligent autonomous systems and robotics
Large-scale data processing, data mining, and predictive analytics
Cloud computing, edge computing, and distributed data infrastructures
Data visualization, knowledge discovery, and decision-support systems
Network security, cryptography, and secure communication
Cyber-physical security and IoT protection
Privacy-preserving computation, blockchain security, and threat intelligence
Software architecture, DevOps, testing, and quality assurance
Agile methodologies, model-driven engineering, and system optimization
Real-time systems, embedded systems, and performance engineering
Next-generation networks (5G/6G), wireless systems, and IoT connectivity
Network modelling, protocols, and performance analysis
Intelligent network management and automation
User experience design, interactive systems, and immersive interfaces
Cognitive computing, affective computing, and adaptive user models
High-performance computing, algorithmic design, and complexity analysis
Bioinformatics, scientific computing, and computational modelling
Quantum computing and quantum information systems
Blockchain and decentralized technologies
Digital twins, smart environments, and autonomous platforms
Green computing and sustainable digital technologies
Frontiers of
Modern Computer Science Research is an international peer-reviewed journal
dedicated to publishing innovative and high-quality research that advances the
theoretical foundations and practical applications of modern computer science and emerging computing technologies.
The journal provides a platform for researchers, academicians, and industry
professionals to disseminate cutting-edge developments.
The journal welcomes the following types of
submissions:
·
Original Research Articles
·
Review Articles
·
Short Communications
·
Case Studies
·
Technical Notes
·
Survey Papers
·
Perspective and Opinion Articles
·
Artificial Intelligence and Machine Learning
·
Data Science and Big Data Analytics
·
Computer Vision and Image Processing
·
Natural Language Processing
·
Cybersecurity and Cryptography
·
Cloud, Edge, and Fog Computing
·
Internet of Things (IoT)
·
Software Engineering and DevOps
·
Algorithms and Computational Theory
·
Distributed and Parallel Computing
·
Human–Computer Interaction
·
Blockchain and Web Technologies
·
Manuscripts must be written in clear, grammatically correct English.
·
Either British or American English may be used
consistently.
Manuscripts should generally include:
1.
Title Page
2.
Abstract
3.
Keywords (4–6)
4.
Introduction
5.
Related Work (if applicable)
6.
Methodology / System Architecture
7.
Experimental Results and Discussion
8.
Conclusion and Future Work
9.
Acknowledgements (optional)
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 numbering: Continuous
·
Abstract length: 150–250 words
·
The abstract should clearly describe the objective, methodology, results, and significance
of the research.
·
Provide 4–6
relevant keywords for indexing.
·
Figures and tables must be numbered
consecutively and cited in the text.
·
Provide clear captions for all figures and
tables.
·
Algorithms and pseudocode should be clearly
formatted and numbered.
·
Images must be high resolution (minimum 300
dpi).
·
Equations should be editable and numbered
consecutively.
·
Symbols must be clearly defined at first use.
·
References must be complete and accurate.
·
The journal accepts APA / IEEE / Harvard citation styles (use one
consistently).
·
All cited references must appear in the
reference list.
·
Manuscripts must comply with ethical publishing standards.
·
Plagiarism, data fabrication, and duplicate
submissions are strictly prohibited.
·
Similarity checks may be conducted prior to
review.
·
The journal follows a double-blind peer review process.
·
Each manuscript is reviewed by at least two
independent experts.
·
Editorial decisions include: Accept, Minor
Revision, Major Revision, or Reject.
·
Frontiers of
Modern Computer Science Research follows an open-access publishing model.
·
Details regarding Article Processing Charges (if
applicable) will be communicated after initial editorial evaluation.
·
Authors retain the copyright of their published
work.
·
Articles are published under an open-access license, allowing free
access with proper citation.
Hyunsung Kim, Ph.D.
School of Computer Science
Kyungil University
Korea
Mohammad Taleghani
Department of Industrial Management Faculty of Management and Accounting
Rasht Branch, Islamic Azad University (IAU)
Iran
LEI Guowei, Ph.D,
Xiamen City, Fujian Province China
School of Science, Jimei University
China
Journal : Frontiers of Modern Computer Science Research
Journal : Frontiers of Modern Computer Science Research
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