Ktrend - International Journal of Computer Science and Artificial Intelligence (IJCSAI)

Ktrend - International Journal of Computer Science and Artificial Intelligence (IJCSAI)

IJCSAI

ISSN: xxxx-xxxx Quarterly πŸ”“ Open Access βœ“ Peer Reviewed
πŸ“„ Submit Manuscript
πŸ” Double-Blind Review πŸ”— DOI Available 🌍 International Editorial Community βš–οΈ Ethical Publishing Standards πŸ›‘οΈ Research Integrity 🌐 Global Research Visibility

About the Journal

The Ktrend – International Journal of Computer Science and Artificial Intelligence (IJCSAI) is a peer-reviewed, open-access international journal dedicated to publishing high-quality research in computer science, artificial intelligence, and related technological disciplines. The journal provides a platform for researchers, scientists, engineers, software developers, academics, and industry professionals to disseminate original research findings, review articles, technical reports, and innovative solutions that contribute to the advancement of computing technologies and intelligent systems. IJCSAI promotes scientific excellence, technological innovation, and interdisciplinary collaboration aimed at addressing contemporary challenges in computing, automation, digital transformation, and artificial intelligence.
πŸ”“ Open Access: The Ktrend – International Journal of Computer Science and Artificial Intelligence (IJCSAI) is a fully open-access journal. All articles published in the journal are freely and permanently accessible online immediately upon publication without subscription fees or access restrictions. Readers may read, download, copy, distribute, print, search, and link to the full texts of published articles for lawful academic and research purposes. The journal is committed to promoting the unrestricted dissemination of scientific and technological knowledge and ensuring that research findings are accessible to researchers, educators, students, industry professionals, policymakers, and the wider global community. Through its open-access publishing model, IJCSAI enhances the visibility, accessibility, and impact of computer science and artificial intelligence research worldwide.

Recently Published Articles

Review Article
Exploring Cryptographic Requirements of eNaira as Nigeria’s Digital Currency
πŸ“‹ Abstract πŸ‘οΈ View PDF ⬇️ Download PDF
Research Article
Machine Learning Assisted Selection of Algebraic Structures for Post-Quantum Cryptographic Systems
πŸ“‹ Abstract πŸ‘οΈ View PDF ⬇️ Download PDF

Aims and Scope

The Ktrend – International Journal of Computer Science and Artificial Intelligence (IJCSAI) aims to advance knowledge and innovation in computer science, artificial intelligence, and emerging digital technologies through the publication of high-quality original research articles, review papers, technical reports, and case studies. The journal serves as an international forum for the dissemination of cutting-edge discoveries, computational methodologies, intelligent systems, and technological innovations that contribute to scientific progress and digital transformation.

The scope of the journal includes, but is not limited to, Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Software Engineering, Computer Networks, Cybersecurity, Information Security, Cloud Computing, Edge Computing, Internet of Things, Distributed Systems, Database Systems, Human-Computer Interaction, Natural Language Processing, Computer Vision, Robotics, Intelligent Systems, Computational Intelligence, Data Mining, Big Data Analytics, Blockchain Technology, Quantum Computing, Embedded Systems, Mobile Computing, Web Technologies, Automation, High Performance Computing, Bioinformatics, Digital Forensics, Virtual Reality, Augmented Reality, Smart Systems, and other emerging areas of computing and artificial intelligence research.

The journal welcomes theoretical, experimental, computational, industrial, and application-oriented studies that contribute to the advancement of intelligent technologies, software systems, computing infrastructures, digital innovation, and the responsible development of artificial intelligence for societal benefit.

Objectives

To publish high-quality and original research in computer science and artificial intelligence, to advance knowledge in computing technologies and intelligent systems, to provide an international platform for researchers, scientists, engineers, and industry professionals, to promote innovation in software, hardware, and intelligent computing solutions, to encourage interdisciplinary research in computer science and emerging technologies, to support the development of advanced computational methods and artificial intelligence applications, to foster scientific collaboration and technological knowledge exchange, to facilitate the dissemination of groundbreaking discoveries and innovations in computing, to maintain high standards of academic integrity and peer review, to promote open access to scientific and technological knowledge, to encourage emerging researchers and innovators, and to contribute to digital transformation and technological advancement worldwide.

Research Areas Covered

Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Software Engineering, Computer Engineering, Information Technology, Algorithms and Data Structures, Computer Networks, Cybersecurity, Information Security, Cloud Computing, Edge Computing, Internet of Things (IoT), Distributed Systems, Database Systems, Human-Computer Interaction, Natural Language Processing, Computer Vision, Robotics, Intelligent Systems, Expert Systems, Knowledge Representation, Computational Intelligence, Data Mining, Big Data Analytics, Blockchain Technology, Quantum Computing, Embedded Systems, Mobile Computing, Web Technologies, Digital Systems, Automation, High Performance Computing, Bioinformatics, Computational Biology, Digital Forensics, Smart Technologies, Virtual Reality, Augmented Reality, and Interdisciplinary Computing Applications.

Editorial Board

πŸ‘€

Dr. Michael John

Managing Editor

editor@ktrendjournals.org

Responsible for overseeing editorial operations, coordinating peer review activities, maintaining publication quality, and ensuring compliance with publication ethics across all Ktrend Journals.

Editorial Office

The Editorial Office serves as the administrative and operational center of Ktrend Journals. It is responsible for manuscript submission management, editorial screening and processing, author and reviewer correspondence, peer review coordination, publication scheduling, DOI and metadata administration, journal production and publication, website management, and indexing and abstracting activities. The Editorial Office works closely with authors, reviewers, and academic collaborators to ensure an efficient, transparent, and professional publication process.

Editorial Community

Ktrend Journals is supported by an international Editorial Community comprising academics, researchers, reviewers, and subject specialists from diverse disciplines and geographical regions. Members contribute through editorial consultation, peer review activities, academic guidance, research networking, journal development initiatives, and scholarly collaboration. Contributors are drawn from academic and research communities across the United States, United Kingdom, Canada, Germany, France, Spain, China, India, Japan, Australia, South Africa, Nigeria, Ghana, Brazil, and other countries worldwide.

Reviewer Community

Ktrend Journals maintains an international Reviewer Community consisting of qualified academics, researchers, scientists, and professionals with expertise across all disciplines covered by our journals. Reviewers are selected based on academic qualifications, subject expertise, research experience, publication record, and professional standing. All submitted manuscripts undergo a rigorous double-blind peer review process conducted by independent reviewers. The Reviewer Community plays a vital role in ensuring the quality, originality, relevance, and scholarly value of published research.

International Academic Collaboration

Ktrend Journals actively promotes collaboration with researchers, institutions, professional organizations, and scholarly communities worldwide. These collaborations support research dissemination, scholarly exchange, peer review activities, editorial development, academic networking, and the international visibility of published research.

🀝 Join Our Editorial or Reviewer Community: Ktrend Journals welcomes applications from qualified academics, researchers, and professionals interested in contributing to scholarly publishing. Send your curriculum vitae and areas of expertise to editor@ktrendjournals.org.

Issue / Archive

πŸ“š Volume 1
πŸ“„ Issue 1 (2 articles)
[Review Article] Exploring Cryptographic Requirements of eNaira as Nigeria’s Digital Currency
Saidu Isah Abubakar, Buhari Mamuda, Sadiq Shehu | pp. 1-10
[Research Article] Machine Learning Assisted Selection of Algebraic Structures for Post-Quantum Cryptographic Systems
Michael Nsikan John | pp. 1-16

Ready to Publish Your Research?

Ktrend Journals welcomes original research articles, review papers, case studies, technical notes, and scholarly contributions from researchers worldwide.