The Journal of Advanced Computing and Intelligent Technologies (JACIT) welcomes scholarly manuscripts that contribute to theoretical, experimental, and applied research in computer science, artificial intelligence, advanced computing, and intelligent technological systems. The journal considers scientifically rigorous contributions that demonstrate originality, technical validity, methodological transparency, and relevance to contemporary computational research.
The following manuscript categories fall within the journal's editorial scope.
Original Research Articles present novel scientific findings, computational methods, algorithms, system architectures, or technological developments. Manuscripts should clearly describe the research objectives, methodology, experimental procedures, results, and conclusions. Submissions must demonstrate a substantive contribution to existing knowledge and provide sufficient evidence to support their findings.
Review Articles provide critical and comprehensive assessments of published research in computing and intelligent technologies. These manuscripts should evaluate significant scientific developments, examine existing theoretical and technical approaches, identify unresolved challenges, and discuss opportunities for further investigation.
Systematic Literature Reviews synthesize existing research through transparent, structured, and reproducible methods. Authors should describe information sources, search strategies, eligibility criteria, study selection procedures, quality assessment methods, and approaches to evidence synthesis. Appropriate reporting guidelines should be followed where applicable.
Methodological Research Articles describe the development, refinement, validation, or comparative evaluation of computational methods. Contributions may address algorithm design, optimization techniques, mathematical modeling, data processing methods, machine learning procedures, or experimental evaluation frameworks.
Manuscripts should establish the methodological contribution and provide appropriate theoretical justification or empirical validation.
Technical Research Articles present scientifically substantiated developments in software systems, computing architectures, communication networks, cybersecurity, cloud infrastructure, and related technologies.
Submissions should explain the technical design, implementation methods, evaluation procedures, and performance characteristics. Technical descriptions without meaningful research contributions or adequate validation may be considered unsuitable.
This category includes original investigations involving artificial intelligence, machine learning, deep learning, natural language processing, computer vision, autonomous systems, and computational intelligence.
Manuscripts should describe relevant model architectures, training procedures, datasets, evaluation metrics, and comparative analyses. Claims concerning model effectiveness, generalizability, or technological superiority must be supported by appropriate evidence.
Applied Computing Articles examine the development and evaluation of computational technologies in domains such as healthcare, education, agriculture, manufacturing, transportation, finance, and environmental monitoring.
Submissions must demonstrate a clear contribution to computer science, computing methodologies, intelligent systems, or technological innovation rather than focusing exclusively on the application domain.
Short Communications present concise reports of focused scientific investigations, preliminary computational findings, or emerging technological developments.
Manuscripts should contain a clearly defined research objective, sufficient methodological information, relevant results, and scientifically supported conclusions. Preliminary findings must be identified accurately, with appropriate acknowledgment of their limitations.
Comparative and Experimental Studies evaluate algorithms, computational models, software frameworks, intelligent systems, or technological architectures through systematic experimentation.
Authors should report experimental environments, dataset characteristics, evaluation metrics, baseline methods, and analytical procedures. Comparisons must be technically justified, reproducible where feasible, and interpreted without unsupported performance claims.
Perspectives and Scholarly Commentaries provide evidence-informed academic discussions concerning emerging computing paradigms, technological challenges, responsible artificial intelligence, cybersecurity, and developments affecting computational research.
Contributions should present coherent scholarly arguments, acknowledge relevant scientific evidence, and distinguish established findings from interpretations or prospective developments.
Editorial Articles address significant developments, research priorities, methodological challenges, or ethical considerations within advanced computing and intelligent technologies.
These contributions are ordinarily prepared by members of the editorial leadership or invited subject specialists and should maintain scholarly objectivity, appropriate attribution, and transparency concerning relevant competing interests.
Letters to the Editor provide concise scholarly observations, technical clarifications, methodological critiques, or evidence-based responses to previously published articles.
Submissions should contribute meaningfully to scientific discussion and maintain professional academic standards. Where appropriate, authors of the original publication may be invited to respond.
All submissions to the Journal of Advanced Computing and Intelligent Technologies must satisfy the following academic and editorial requirements:
Originality: Manuscripts must present an identifiable scholarly contribution and comply with the journal's originality and prior-publication requirements.
Technical Accuracy: Algorithms, computational models, mathematical formulations, and system descriptions must be scientifically accurate.
Methodological Rigor: Research methods, experimental procedures, and analytical approaches must be appropriate to the stated objectives.
Research Transparency: Authors should provide sufficient information concerning datasets, computational environments, model configurations, and evaluation methods to support scientific assessment.
Ethical Compliance: Research must satisfy applicable requirements concerning research integrity, data privacy, intellectual property, and human participant protection.
Authorship and Disclosure: Authors must provide accurate authorship information and disclose relevant funding and competing interests.
Evidence-Based Conclusions: Reported findings and performance claims must be supported by appropriate theoretical analysis or experimental evidence.
The Journal of Advanced Computing and Intelligent Technologies evaluates submitted manuscripts according to scientific originality, technical significance, methodological quality, ethical compliance, and alignment with its Aims & Scope.
Manuscripts that do not satisfy the journal's scientific or editorial requirements may be declined during preliminary assessment or following independent peer review. Final publication decisions remain the responsibility of the journal's authorized editorial leadership.