Guiding Principles for Authentic Publication in Kings and Queens Journal of Advanced Computing and Artificial Intelligence (KQJACAI): KQJACAI is a bi-annual, open-access, peer-reviewed international journal dedicated to original and unpublished research in advanced computing, artificial intelligence, machine learning, data science, and related computational fields. The journal prioritizes rigor, originality, and ethical integrity in all accepted works, and seeks to support the academic community by promoting sound intellectual inquiry.

All research submitted to KQJACAI undergoes a thorough double-blind peer review. Our editorial team upholds high standards of scientific and academic conduct, ensuring that every manuscript meets the journal’s expectations for scholarly relevance and technical accuracy.

Responsibilities of Authors:

Expected Quality:

• Manuscripts should be prepared independently by the authors and must not replicate published literature.
• Submissions must present clear, technically valid, and impactful contributions to fields such as AI, machine learning, computational modeling, or advanced software systems.
• Research should demonstrate novelty, analytical rigor, and computational relevance.
• Transparent description of algorithms, datasets, and experimental procedures is required.
• Manuscripts must conform to formatting guidelines and include proper citations and referencing.
• KQJACAI aims to provide a timely and constructive platform for the publication of original scientific work in computing and AI.
• Authors are expected to engage fully and professionally throughout the peer review and revision process.

Novelty and Plagiarism:

• All manuscripts must be original and free from plagiarism or excessive overlap with previously published works.
• All sources of data, software, algorithms, or theoretical frameworks must be properly acknowledged.
• Concurrent submission to other journals or duplication of content is not permitted.
• Authors must respond to feedback and implement necessary revisions with transparency and scholarly responsibility.
• Any significant post-publication errors must be promptly communicated to the editorial office.

Exposure Benchmarks:

• Submissions should be relevant to ongoing or emerging areas in advanced computing and AI.
• There must be a logical coherence among research objectives, methodologies, results, and conclusions.
• All borrowed material and external models should be accurately referenced.
• Fabricated or falsified results are strictly prohibited and will result in rejection or retraction.

Data Access and Retention:

• Authors may be asked to share datasets, code, or supplementary material for reproducibility purposes.
• Authors must consent to the open-access availability of their published work and retain data for a reasonable time after publication.

Multiple, Redundant or Concurrent Publication:

• Manuscripts submitted to KQJACAI must be unpublished and not under review elsewhere.
• Redundant or duplicate submissions violate academic ethics and will be rejected outright.
• Re-publication of previously published content in other outlets is not acceptable.

Acknowledgement of Sources:

• All theoretical, computational, and experimental contributions by others must be properly cited.
• Authors should acknowledge prior research that directly or indirectly shaped the submitted work.
• Usage of proprietary data, tools, or code must be authorized by the original owners and duly noted in the manuscript.

Authority of Paper:

• Every author listed on the manuscript must have made a significant contribution to the work.
• Institutional support, grants, or sponsorships should be explicitly acknowledged.
• Ghost authorship or honorary authorship is not permitted.
• The corresponding author must ensure that all co-authors approve the final manuscript before submission.

Hazards and Human or Animal Subjects:

• If applicable, any ethical risks associated with AI systems, human subjects, or sensitive data must be disclosed.
• Compliance with national and institutional ethical standards is required for research involving humans or animals.
• Informed consent and data privacy protections must be clearly documented.

Disclosure and Conflicts of Interest:

• All financial or professional conflicts of interest must be disclosed by the authors.
• Funding sources and institutional affiliations must be listed transparently.
• Potential conflicts include consultancies, employment, grants, or other commercial relationships that may influence the research.

Duties of Editors:

Publication Decisions:

• Editors make publication decisions based on relevance, originality, clarity, and contribution to the computing and AI domains.
• Evaluations are based strictly on academic merit and content, not author background or institutional affiliation.

Confidentiality: Editors and staff are expected to keep all submission-related information confidential throughout the review process.

Fair Play: Manuscripts are reviewed without discrimination or bias, ensuring equity in editorial handling.

Conflict of Interest: Editors must recuse themselves from editorial duties where a conflict of interest exists and maintain objectivity throughout the review process.

Creative Commons License: This work is licensed under a Creative Commons Attribution 4.0 International License.