Journals

  • Journal of Advances in Cybersecurity Science, Threat Intelligence, and Countermeasures

    The Journal of Advances in Cybersecurity Science, Threat Intelligence, and Countermeasures publishes research on innovative approaches to cybersecurity, emphasizing threat intelligence, risk mitigation, and defense strategies. It explores topics such as threat modeling, incident response, vulnerability assessment, and the development of advanced security solutions. The journal provides a space for researchers and industry experts to share insights, foster collaboration, and contribute to strengthening cyber defense mechanisms in an increasingly complex digital landscape.

  • Journal of Cloud Computing Concepts and Technological Development

    The Journal of Cloud Computing Concepts and Technological Development focuses on research and advancements in cloud computing theories, frameworks, and emerging technologies. It covers topics such as cloud architecture design, virtualization techniques, resource optimization, and scalable service delivery models. The journal serves as a platform for academic and industrial contributions, promoting innovative solutions and developments that address the evolving challenges in cloud computing infrastructure and applications.

  • Journal of Applied Big Data Analytics, Decision-Making, and Predictive Modelling Systems

    The Journal of Applied Big Data Analytics, Decision-Making, and Predictive Modelling Systems is a scholarly publication  that addresses the growing convergence between theoretical data science and practical implementation challenges faced by organizations across various sectors. This publication emerges from the recognition that while significant advances have been made in big data technologies and analytical methodologies, there remains a critical need for research that demonstrates how these innovations can be effectively translated into operational decision-making frameworks.

    The journal's editorial mission reflects an understanding that modern data-driven organizations require more than just sophisticated analytical tools—they need comprehensive systems that can transform raw data into actionable insights while supporting complex decision-making processes. This perspective acknowledges that the value of big data analytics lies not merely in the technical capabilities of processing large datasets, but in the ability to create meaningful connections between analytical findings and strategic organizational outcomes.

    In today’s data-centric world, where organizations increasingly rely on analytics to inform strategies and predict outcomes, the journal aims to play a role in disseminating best practices and novel methodologies. Topics of interest may include machine learning algorithms for predictive modeling, big data technologies for decision support, and case studies showcasing successful applications of analytics in industry settings.

  • Applied Journal of Computational Thinking, Modeling, and Simulation

    The Applied Journal of Computational Thinking, Modeling, and Simulation (AJCTMS) is a peer-reviewed, interdisciplinary journal that publishes high-quality research on computational methodologies, mathematical modeling, and simulation techniques across various scientific and engineering domains. The journal serves as a platform for researchers, academicians, and industry professionals to advance knowledge in computational problem-solving, system analysis, and predictive modeling.

    AJCTMS focuses on innovative computational approaches, including artificial intelligence, machine learning, data-driven modeling, and numerical simulations. The journal also encourages submissions on the practical applications of computational methods in fields such as engineering, healthcare, economics, environmental science, and more.

     

    Editorial and Peer Review Policy

    AJCTMS follows a rigorous, double-blind peer-review process to ensure the highest quality of published research. All submissions undergo initial screening by the editorial board before being assigned to independent reviewers with subject-matter expertise. The review process evaluates originality, methodological rigor, and practical significance.

    The journal welcomes:

    • Original research articles
    • Review papers and state-of-the-art surveys
    • Case studies and real-world applications
    • Short communications on emerging trends

    AJCTMS maintains ethical publishing standards and adheres to open-access policies where applicable, ensuring widespread dissemination of research contributions.