• Platform: Manuscripts must be submitted via our web platform. Ensure to upload both the final PDF file and the ZIP file containing all source files from the Overleaf template.
• Format: Submissions must be prepared in LaTeX using the Overleaf template provided by JAICA to ensure consistency across publications.
• Language: Manuscripts must be in clear, grammatically correct English.

At JAICA, we are dedicated to showcasing a wide range of research within the realms of AI and computing, embracing both foundational and novel forms of scholarly work. Our journal includes a variety of sections to cater to diverse research needs and interests, beyond the traditional Original Research Articles (ORA), which remain a crucial component of academic dialogue. These include "Short Narrative Reviews" (SNR), which provide insightful summaries and analyses of current research trends, "Applied AI Exploration Papers" (AAIEP) that highlight practical implementations of AI in solving real-world problems, and "Math for AI Capsules: Brief Explorations" (MAIC), offering concise introductions to mathematical concepts with significant implications for AI research. Each section is tailored to deliver specific value to the scientific community, with detailed submission guidelines available to help authors choose the most appropriate format for their work.

For Original Research Articles (ORA), JAICA acknowledges the diverse nature of research within artificial intelligence and computing applications and offers a flexible structural framework for manuscript preparation. Authors are encouraged to adapt the structure to best suit their research needs, ensuring, however, that the manuscript includes clearly defined Introduction and Conclusion sections. To guide authors in organizing their research effectively, we propose the following structure, which can be adjusted as necessary to align with the specific demands and nuances of your study:

• Introduction: Start with a comprehensive introduction that sets the context for your research, highlights its importance, and states the research problem or hypothesis. Outline the objectives and contributions of your study.
• Materials and Methods: Describe the research design, methodologies, data collection, and analysis procedures you employed. This section should provide enough detail to allow replication of the study.
• Results: Present your findings clearly and concisely, using figures and tables as necessary. Ensure that this section focuses solely on the results of your study without interpretation.
• Discussion: Interpret your results, discussing how they address the research problem and how they relate to existing knowledge. Highlight the implications of your findings and any limitations of your study.
• Conclusion: Summarize the main findings and their significance. Suggest future research directions and potential practical applications of your work.

Short Narrative Reviews (SNR) represent a vital component of the Journal of Artificial Intelligence and Computing Applications (JAICA), offering a platform for synthesizing and discussing recent advancements, trends, and emerging topics within the realms of artificial intelligence and computing. These reviews play a crucial role in the scientific community by providing concise, insightful overviews of specific areas, thereby facilitating a deeper understanding of complex subjects, identifying gaps in current research, and suggesting new directions for future studies.

The SNR section is particularly beneficial for early-career researchers, educators, and practitioners seeking to acquaint themselves with a new topic or to stay updated on the latest developments in a familiar area. By distilling vast amounts of information into accessible summaries, SNRs contribute significantly to the dissemination of knowledge, fostering innovation, and encouraging interdisciplinary dialogue.

Recognizing the unique nature and purpose of SNRs, JAICA has outlined a specific structure to ensure these reviews are informative, coherent, and impactful. This structure is designed to guide authors in crafting their narratives, ensuring they provide a comprehensive overview of the topic, methodologically sound analyses of existing literature, and thoughtful discussions on implications and future research avenues.

The solicited structure for SNRs within JAICA is as follows:

• Introduction: Begin with a compelling introduction to the topic under review, highlighting its significance and establishing the scope. Clearly state the objectives or research questions of the review.
• Methodology: Detail the literature review process, including databases searched, keywords used, and selection criteria. Emphasize the systematic approach to ensure replicability and credibility.
• Thematic Overview: Synthesize the main findings around emergent themes, trends, or patterns. This section should provide a comprehensive analysis of the literature, discussing significant contributions and identifying gaps.
• Discussion: Interpret the findings, discussing their broader implications for the field and how they address the review's objectives. Highlight any limitations and provide insightful comparisons.
• Conclusion: Summarize key findings and their importance, suggest future research directions, and possibly discuss practical applications or policy implications.

By adhering to this structured approach, authors of SNRs can effectively communicate the relevance, current state, and potential future directions of research in their chosen topic, making a valuable contribution to the ongoing discourse in artificial intelligence and computing applications.

Applied AI Exploration Papers (AAIEP) form an innovative segment of the Journal of Artificial Intelligence and Computing Applications (JAICA), dedicated to showcasing preliminary explorations, prototypes, and innovative applications in the field of artificial intelligence. This section encourages the submission of papers that demonstrate the practical application of AI theories and concepts, highlighting the transition from idea to implementation. It serves as a testament to the journal's commitment to not only theoretical advancements but also to tangible, real-world applications of AI technology.

The AAIEP section holds substantial value for the scientific community, particularly for those involved in hands-on AI development, including researchers, industry professionals, and students. It provides a unique platform to share early-stage projects and prototypes, fostering a culture of innovation and collaboration. These papers often reveal the challenges, setbacks, and successes encountered during the development process, offering invaluable insights that contribute to the collective learning and advancement of the field.

Moreover, AAIEP serves as a catalyst for further research and development by highlighting new applications, methodologies, and tools that can inspire more comprehensive studies and technological advancements. This not only accelerates the pace of innovation within AI but also broadens the scope of its application across various domains.

Given the exploratory and innovative nature of AAIEP, JAICA proposes a specific structure to guide authors in presenting their work effectively:

• Introduction: Introduce the AI project or concept being explored. Outline the problem it addresses, its significance, and the project's objectives.
• Project Description: Provide a detailed account of the AI prototype or project, including design considerations and innovative features.
• Implementation and Results: Describe the implementation process and present preliminary results or findings, emphasizing any unique challenges faced.
• Discussion and Potential Impact: Discuss the implications of the project and its potential contribution to advancing AI applications. Consider broader impacts or future applications.
• Conclusion: Recap the project's aims, findings, and significance. Suggest next steps for further research or development.

By adhering to this structure, authors of AAIEP provide a comprehensive account of their exploratory work, enriching the scientific discourse with fresh perspectives and practical insights into the application of artificial intelligence. This not only showcases the dynamic nature of AI research but also underscores JAICA's role in bridging the gap between theoretical research and practical innovation.

The "Math for AI Capsules: Brief Explorations" (MAIC) section is an exciting addition to the Journal of Artificial Intelligence and Computing Applications (JAICA), specifically designed to illuminate the profound connection between mathematical concepts and artificial intelligence applications. This section invites submissions that succinctly present mathematical theories, formulas, or principles with potential implications for AI, distilled into concise, impactful explorations of no more than two pages.

MAIC aims to demystify complex mathematical ideas, making them accessible to a wider audience within the AI community, including technologists, practitioners, and interdisciplinary researchers. By focusing on the practical relevance and potential applications of these mathematical concepts in AI, this section fosters a deeper appreciation for the underlying mathematical foundations of AI technologies and encourages further exploration in more specialized mathematical or AI research journals.

Each "Capsule" in this section is crafted to:

Introduce: Present a mathematical concept relevant to AI in an approachable manner, highlighting its significance and foundational role in the field. Illustrate: Offer examples or scenarios where the mathematical concept finds application in AI, providing insight into its practical utility. Inspire: Encourage further investigation and application of the concept in AI research and development, serving as a springboard for deeper exploration. MAIC is particularly beneficial for those seeking to bridge the gap between theoretical mathematics and practical AI applications, offering a platform for sharing insights that illuminate the mathematical underpinnings of AI innovations.

By contributing to MAIC, authors have the unique opportunity to showcase the elegance and utility of mathematical concepts in AI, promoting a richer understanding of AI's scientific basis and inspiring further interdisciplinary research and collaboration.

The Critical Perspectives and Position Papers (CPPP) section of the Journal of Artificial Intelligence and Computing Applications (JAICA) offers a platform for articulating thought-provoking arguments, critiques, and reflections on emerging or established topics within the realms of artificial intelligence and computing. These contributions play a crucial role in the scientific community by challenging conventional paradigms, encouraging debate, and inspiring new directions for research and practice.

The CPPP section is particularly beneficial for researchers, educators, and practitioners seeking to engage with critical viewpoints, share reflective analyses, or explore unresolved challenges and underexplored opportunities. By presenting well-reasoned perspectives, CPPPs contribute to advancing the discourse on AI, fostering innovation, and encouraging interdisciplinary dialogue.

Recognizing the unique nature and purpose of CPPPs, JAICA has outlined a specific structure to ensure these contributions are coherent, impactful, and actionable. This structure is designed to guide authors in developing their arguments effectively, ensuring clarity, depth, and relevance.

The solicited structure for CPPPs within JAICA is as follows:

1. Introduction:
Begin with a compelling introduction to the topic, highlighting its significance and establishing the scope of the argument. Clearly state the objectives or central position of the paper.

2. Position or Argument:
Present the main argument or critique in a clear, logical manner. Develop the perspective with relevant evidence, examples, or references to existing work, ensuring a well-supported and reasoned discussion.

3. Discussion:
Interpret the broader implications of the argument for the field of artificial intelligence and computing. Discuss how the presented perspective addresses gaps, challenges existing ideas, or inspires new research directions. Highlight any limitations or counterpoints where applicable.

4. Conclusion:
Summarize the key points of the paper, reinforce the central argument, and suggest potential future research directions, practical applications, or policy implications.

In preparing your manuscript for submission to the Journal of Artificial Intelligence and Computing Applications (JAICA), it is essential to tailor your document to fit the specific category under which you intend to submit. As discussed earlier, JAICA offers diverse article categories, including Original Research Articles (ORA), Short Narrative Reviews (SNR), and Applied AI Exploration Papers (AAIEP), each with its distinct structural requirements. Ensuring your manuscript complies with the guidelines pertinent to your chosen category is crucial for a seamless review process and for enhancing the overall coherence and impact of your research.

To maintain consistency in formatting and presentation across all articles, JAICA mandates the use of LaTeX for manuscript preparation. This policy applies to all categories of submissions without exception. We provide an Overleaf template, which can be found here, designed to streamline the formatting process for our authors. This template embodies the formatting standards of JAICA and includes predefined sections, styles, and guidelines to assist you in structuring your manuscript correctly.

• Mandatory Use of LaTeX: All submissions must be prepared using LaTeX. Submissions in Word or other formats will not be accepted.
• Overleaf Template: Authors are strongly encouraged to utilize the provided Overleaf template to ensure their manuscripts meet JAICA’s formatting criteria. The template is available here and includes detailed instructions for its use.

While specific structural elements may vary between categories, the overarching principles of manuscript preparation, including the mandatory use of LaTeX and adherence to the Overleaf template, remain constant. This section will further guide you through other universal aspects of manuscript preparation, such as figures and tables, references and citations, and ethical guidelines. Following these general guidelines, along with the category-specific instructions outlined previously, is pivotal in ensuring your manuscript aligns with JAICA's standards of scholarly excellence.

By meticulously preparing your manuscript in accordance with these guidelines, you contribute to the high-quality research community fostered by JAICA. We eagerly anticipate your valuable contributions to the dynamic fields of artificial intelligence and computing applications.

• Ensure high-resolution figures and well-formatted tables.
• Provide standalone captions that offer comprehensive explanations and context.

In preparing your manuscript for the Journal of Artificial Intelligence and Computing Applications (JAICA), please note that our Overleaf template is configured to use the IEEE citation style. This widely acknowledged format ensures consistency and clarity in referencing across all articles within our journal, which is particularly important in the fields of computing and engineering.

• IEEE Citation Style: Utilize the IEEE citation format provided within the Overleaf template for your references. We encourage authors to familiarize themselves with the IEEE style to ensure the accuracy and completeness of their citations.
• DOIs in References: When available, please include the Digital Object Identifier (DOI) for each reference within your BibTeX file. DOIs provide a persistent link to the source material, enhancing the reliability and accessibility of your references.
• Active Hyperlinks: We also encourage the inclusion of active hyperlinks for online references, facilitating immediate access to the cited works for readers.

Incorporating DOIs and hyperlinks in your references not only adheres to JAICA's citation standards but also significantly contributes to the scholarly value of your manuscript by enabling readers to verify and further explore your sources easily.

• Confirm the originality of your manuscript and that it is not under consideration elsewhere.
• Clearly cite data sources, ensuring accessibility for verification.

To uphold the integrity of our double-blind peer review, it is imperative that submissions maintain author anonymity at the time of review. While the Overleaf template you use for manuscript preparation will include fields for author details, the final PDF you upload for submission should not reveal your identity or affiliations.

• Anonymity in Submission: When exporting your manuscript to PDF from Overleaf, ensure that all author names, affiliations, and other identifying information are omitted from this version. This step is crucial to preserve the fairness and impartiality of the review process.
• Author Information: Although the Overleaf template includes sections for author details, this information is for internal use and post-review processing. It is not to be included in the PDF submitted for review.
• Revision and Feedback: Be prepared to engage with the review process constructively. Based on reviewer feedback, revisions may be necessary to refine and enhance your manuscript before final acceptance.

By adhering to these guidelines, you contribute to a rigorous, fair, and constructive review process, ensuring that manuscripts are evaluated solely on the merit of their content.

• JAICA is waiving Article Processing Charges (APCs) to support and encourage submissions during our growth phase.

• Upon acceptance, provide the LaTeX source files and high-quality figures in a ZIP file, facilitating professional typesetting for publication.

For further inquiries or assistance, reach out to contact@maikron.org.

We look forward to your contributions and to advancing the fields of artificial intelligence and computing applications together.