Author Guidelines

Thank you for considering Optimizations in Applied Machine Learning (OAML) as a venue for disseminating your research. We aim to publish high-quality, peer-reviewed articles that contribute to the field of applied machine learning with a focus on optimization techniques and innovative methodologies. To ensure smooth processing and review, authors are requested to adhere to the following guidelines.

Article Categories

OAML accepts the following types of manuscripts:

1. Research Articles: Comprehensive studies providing significant contributions to the field. (6,000–8,000 words)
2. Review Articles: Summarizing the state-of-the-art developments in applied machine learning and optimization. (6,000–10,000 words)
3. Short Communications: Brief articles reporting novel findings or methodologies. (2,000–3,500 words)
4. Case Studies: Practical applications of machine learning optimizations with real-world implications. (3,500–5,000 words)
5. Perspectives and Commentaries: Insights into emerging trends or debates in the field. (1,500–2,500 words)

Manuscript Preparation

Manuscripts should be prepared in clear, concise English, following the structure outlined below.

1. Title Page

• Title: Reflect the content of the manuscript concisely.
• Authors: Full names, affiliations, and corresponding author with email address.
• Keywords: 4–6 relevant keywords for indexing.

2. Abstract

A succinct summary (200–250 words) highlighting the objectives, methodology, key findings, and significance of the work. Avoid references in the abstract.

3. Main Text

The main body should follow a logical structure:

• Introduction: Define the problem, review relevant literature, and state the contribution.
• Methodology: Describe the proposed optimization techniques and experimental setup in detail.
• Results: Present findings with tables, figures, and appropriate statistical analysis.
• Discussion: Interpret results, highlight limitations, and suggest future directions.
• Conclusion: Summarize the primary findings and their implications.

4. References

Follow the IEEE referencing style. (Detailed instructions provided below.)

5. Figures and Tables

• Include high-resolution images (minimum 300 dpi).
• Use concise captions. All figures and tables should be cited sequentially in the text.
• Submit figures and tables as separate files along with the manuscript.

6. Supplementary Material (if applicable)

Additional materials, such as datasets or detailed proofs, may be included as supplementary files.

Formatting Guidelines

1. Document Format: Submit manuscripts in Microsoft Word or LaTeX (with accompanying PDF).
2. Font: Use Times New Roman, 12-point font for the main text.
3. Line Spacing: Double-spaced.
4. Margins: Set to 1 inch on all sides.
5. Sections and Subsections: Use a clear numbering hierarchy (e.g., 1, 1.1, 1.2).

Reference Style: IEEE

References must follow the IEEE citation format. Use numerical citations in square brackets within the text (e.g., "[1]"). Below is an example reference list:

Books

[1] A. Author, Book Title. City: Publisher, Year, pp. xx–xx.

Journal Articles

[2] B. Author and C. Author, “Title of the article,” Journal Name, vol. X, no. X, pp. xx–xx, Year.

Conference Papers

[3] D. Author, “Title of the paper,” in Conference Name, Location, Year, pp. xx–xx.

Online Sources

[4] E. Author, “Title of the online article,” Website Name, Publication Date. [Online]. Available: URL. [Accessed: Month Day, Year].

A Microsoft Word template for manuscript preparation can be accessed through:

[Download Template]

Submission Process

1. Initial Submission

• Submit via the online submission portal [link].
• Include a cover letter addressing the relevance of the manuscript to OAML.

2. Peer Review

All submissions undergo a double-blind peer review. Authors must anonymize their manuscript before submission. Ensure:

• No identifying details in the main text or file properties.
• Separate Title Page containing author information.

3. Revisions

Authors will be notified of the review decision and may be asked to revise the manuscript. Provide a detailed response to reviewers’ comments along with the revised submission.

4. Final Submission

Upon acceptance, upload the final manuscript, figures, and supplementary materials through the submission portal.

Publication Ethics

OAML adheres to the principles of the Committee on Publication Ethics (COPE). Authors are expected to:

1. Ensure originality and avoid plagiarism.
2. Disclose conflicts of interest.
3. Provide data and code upon reasonable request.
4. Avoid duplicate submission.

Copyright and Licensing

Authors retain copyright under a Creative Commons Attribution License (CC-BY), allowing unrestricted sharing and adaptation of the work with proper attribution.

Contact Information

For queries regarding submissions, please contact: oaml@mri-pub.com

We look forward to your contributions to Optimizations in Applied Machine Learning!