Instructions for Authors

The Journal of Advanced AI Research and Applications is committed to advancing innovation and excellence in artificial intelligence practice through high-quality publication of:

• Original research studies
• Model implementation case reports and computational teaching cases
• Technical and methodological notes
• Review articles and expert perspectives

Our mission is to promote global scientific communication and computational education by publishing research that improves intelligent system outcomes, strengthens computational decision-making, and expands foundational and applied knowledge in artificial intelligence.

We welcome submissions from:
• AI researchers and trainees
• Machine learning engineers and data science teams
• Multidisciplinary computational research groups
• Professionals advancing AI safety, transparency, and ethical standards

2. Article Types

1. Original Research Articles
   • Computational, experimental, or applied AI research.
   • Must include methodology, model analysis, and interpretation.
   • Word count: 4,000–6,000 words.
2. Model Case Reports
   • Unique, rare, or complex model implementations with educational relevance.
   • Emphasize model development decisions and performance considerations.
   • Word count: 2,000–3,000 words.
3. Review Articles
   • Systematic, narrative, or critical reviews of AI techniques, methodologies, or system architectures.
   • Identify practice gaps and suggest future research directions.
   • Word count: 5,000–8,000 words.
4. Short Communications
   • Early-phase research, pilot data, or brief computational findings.
   • Word count: 1,500–2,500 words.
5. Opinion / Perspective Pieces
   • Expert commentary on AI research trends, ethical considerations, or technical challenges.
   • Word count: 1,000–2,000 words.
6. Technical Notes / Algorithmic Procedures
   • Step-by-step documentation of new, improved, or modified modeling techniques.
   • Focus on clarity and reproducibility.
   • Word count: 1,500–3,000 words.

3. Manuscript Preparation

Language and Writing Style
• Manuscripts must be in clear, professional English.
• Authors whose first language is not English are encouraged to seek language editing support.
• Use APA 7th Edition referencing unless otherwise specified.
• Define abbreviations at first use; avoid excessive jargon.

Structure
• Title Page: Full author and affiliation details, ORCID iDs, corresponding author info, and a running title (≤50 characters).
• Abstract: 250–300 words; structured when applicable.
• Keywords: 5–7 index terms.
• Main Text: Introduction, Methods, Results, Discussion, Conclusion.
• Acknowledgments: List funding sources and contributor support.
• Conflict of Interest Statement: Required.
• Data Availability Statement: Indicate access conditions. 

Reference Style (Examples)

LeCun Y, Bengio Y, Hinton G. (2015). Deep learning. Nature. 521(7553):436–444.

Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, et al. (2014). Generative adversarial networks. Adv Neural Inf Process Syst. 27:1–9.

Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, et al. (2017). Attention is all you need. Adv Neural Inf Process Syst. 30:5998–6008.

He K, Zhang X, Ren S, Sun J. (2016). Deep residual learning for image recognition. Proc IEEE CVPR. 770–778.

Krizhevsky A, Sutskever I, Hinton GE. (2012). ImageNet classification with deep convolutional neural networks. Commun ACM. 60(6):84–90.

Silver D, Huang A, Maddison CJ, Guez A, Sifre L, et al. (2016). Mastering the game of Go with deep neural networks and tree search. Nature. 529(7587):484–489.

Jumper J, Evans R, Pritzel A, Green T, Figurnov M, et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature. 596(7873):583–589.

Ethical Compliance

• All research must comply with institutional, data governance, and ethical AI standards.
• Use of real-world or human-related data requires documented consent and anonymization.
• Model testing involving sensitive populations requires risk mitigation documentation.
• AI system deployment must follow responsible innovation frameworks.
• Applied research involving regulated domains must include oversight or approval identifiers.

5. Submission and Peer Review Process

Submission
• Submit manuscripts via the Journal of Advanced AI Research and Applications Online Submission System (Otso Publishers).
• Acceptable formats: .doc/.docx for text; .png, .tiff, .eps for figures.
• A cover letter must include:
o Statement of originality
o Relevance of the work
o Confirmation of no concurrent submission
• Authors may suggest reviewers but must avoid personal or recent collaborators.

Peer Review
• Double-blind peer review is followed.
• Manuscripts are evaluated for originality, relevance, technical strength, and ethical compliance.
• Possible decisions: Accept, Minor Revision, Major Revision, Reject.
• Authors must respond to reviewer comments clearly and systematically.

6. Post-Acceptance Procedures

• Proofs are sent to the corresponding author for approval.
• Only minor typographical edits are permitted at proof stage.
• High-resolution figures and supplementary files must be finalized before publication.
• Authors sign a Publication Agreement granting permission to publish under open access terms.

7. Open Access Policy & Article Processing Charges (APCs)

• The journal operates under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
• Articles are freely accessible online upon publication.
• APC: USD $535 per accepted article.
• Waivers/discounts may be offered to:
o Authors from low-/middle-income regions
o Early-career or unfunded researchers

8. Copyright and Licensing

• Authors retain copyright.
• Upon acceptance, authors grant Otso Publishers a license to publish and distribute the work under CC BY 4.0.
• Use of third-party content requires permission and citation.

9. Plagiarism, Redundancy & Scientific Misconduct

• All submissions are screened for plagiarism and redundancy.
• Self-plagiarism and AI-generated content misuse are prohibited.
• Data fabrication or duplication leads to rejection and possible reporting.
• COPE guidelines are strictly followed.