Mission and Scope: The Kings and Queens Journal of Advanced Computing and Artificial Intelligence (KQJACAI) is committed to advancing knowledge in cutting-edge computing and artificial intelligence. The journal provides a scholarly platform for the publication of original research that explores theoretical foundations, innovative technologies, and real-world applications in computing and AI. KQJACAI encourages contributions that not only enhance scientific understanding but also offer practical insights for solving complex technological challenges across industries. Our mission is to support meaningful academic dialogue among computer scientists, AI researchers, engineers, and technologists who are shaping the future of intelligent systems and computational innovation.

About Us: KQJACAI is a peer-reviewed, open-access international journal published twice a year. It highlights rigorous research in advanced computing fields, including but not limited to artificial intelligence, machine learning, big data analytics, robotics, cybersecurity, and intelligent systems. The journal invites high-quality submissions that push the boundaries of current methodologies and demonstrate the relevance of AI and computing solutions to both academic and practical domains. Each manuscript undergoes a strict double-blind peer review to uphold the integrity, originality, and scholarly value of the work. KQJACAI strives to be a dependable academic outlet that bridges research innovation with societal and industrial advancement.

Fields of Study: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Human-Computer Interaction, High-Performance Computing, Data Science, Cybersecurity, Algorithm Design, Big Data Analytics, Cloud and Edge Computing, Intelligent Systems, and related areas.

Publication Frequency: Bi-Annual (January – June & July – December)

Access Type: Open Access

Year of Establishment: 2025

Fields of Research: The Kings and Queens Journal of Mathematical Modeling and Applied Analytics (KQJMMAA) covers a focused yet diverse array of research areas, including but not limited to: Applied Mathematics, Mathematical Modeling, Computational Science, Statistics, Optimization, Operations Research, Numerical Methods, Machine Learning, Data Analytics, Simulation, Control Theory, Decision Science, Mathematical Finance, Quantitative Risk Analysis, Systems Engineering, and interdisciplinary studies involving mathematical applications in engineering, economics, biology, and the physical sciences.

Types of Submissions: Original Research Articles, Review Papers, Case Studies, Applied Methodological Papers, Comparative Analyses, Technical Notes, Survey Papers, Thesis and Dissertation Excerpts (M.Sc, M.Phil, Ph.D.), and Research Proposals relevant to the field.

Accepted Language: English

Open Access Policy: The Kings and Queens Journal of Mathematical Modeling and Applied Analytics (KQJMMAA) operates under an Open Access framework, providing unrestricted access to published content without subscription or access fees. Publication costs may be supported by the author, affiliated institution, or research funding. Authors retain full copyright of their work, ensuring visibility and accessibility for researchers and practitioners around the world.

Call for Submissions: KQJMMAA welcomes original, unpublished work from scholars, researchers, and professionals engaged in the mathematical sciences and their real-world applications. All manuscripts are subject to a thorough peer review process that evaluates novelty, methodological soundness, and relevance. The journal encourages submissions that apply rigorous mathematical thinking to address practical challenges or explore emerging trends in applied analytics. Accepted papers will be published in the forthcoming issue, complete with an Online ISSN and citation indexing.