Australian Journal of Botany
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Referee Guidelines

Reviewer Guidelines

Journal of Ai ML DL

Thank you for agreeing to review manuscripts for the Journal of Ai ML DL. Your expertise and constructive feedback are essential to maintaining the high quality and integrity of the research we publish. Please read the following guidelines carefully to support a fair, thorough, and timely review process.

1. Role and Responsibilities of Reviewers

  • Objective Evaluation: Provide an unbiased, objective, and constructive critique of the manuscript’s scientific rigor, originality, relevance, and clarity.

  • Confidentiality: Treat all manuscripts as confidential documents. Do not share or discuss the manuscript with others without prior permission from the editorial office.

  • Timeliness: Complete your review within the agreed timeframe or notify the editorial office promptly if an extension or withdrawal is necessary.

  • Conflict of Interest: Disclose any potential conflicts of interest that could bias your review and decline to review if such conflicts exist.

  • Ethical Concerns: Report any suspected plagiarism, ethical issues, or data fabrication to the editor immediately.

2. Review Criteria

When assessing a manuscript, consider the following:

  • Relevance: Does the manuscript fit within the scope of the Journal of Ai ML DL?

  • Originality: Does the work present novel research, insights, or methodologies in artificial intelligence, machine learning, or deep learning?

  • Technical Quality: Are the methods, experiments, and analyses sound and reproducible?

  • Clarity: Is the manuscript well-organized, clearly written, and free of ambiguity?

  • Significance: Does the paper make a meaningful contribution to the field?

  • References: Are relevant prior works cited appropriately and adequately?

3. Structure of Your Review

Your review report should typically include:

  • Summary: Briefly summarize the manuscript’s objectives and main findings to demonstrate understanding.

  • Major Comments: Identify significant strengths and weaknesses, including methodological issues, unsupported conclusions, or missing references.

  • Minor Comments: Note smaller issues such as typos, unclear phrasing, formatting inconsistencies, or figure/table quality.

  • Recommendation: Provide a clear recommendation to the editor, choosing from:

    • Accept without changes

    • Minor revision

    • Major revision

    • Reject

4. Confidential Comments to the Editor

You may include confidential remarks for the editor regarding ethical concerns, conflicts, or other editorial matters not suitable for authors.

5. Ethical Considerations

  • Do not use any information from the manuscript for your own benefit before publication.

  • Report any concerns about duplicate submissions or ethical breaches promptly.

6. Review Format and Submission

  • Submit your review via the journal’s online submission system.

  • Provide detailed, constructive comments that authors can use to improve their manuscript.

  • Be respectful and professional in your language.

7. Recognition

The Journal of Ai ML DL acknowledges reviewers’ contributions through:

  • Formal thank-you emails and certificates upon request

  • Listing reviewer names annually on the journal website (unless anonymity is requested)

If you have any questions or need assistance during the review process, please contact the editorial office.

Thank you for supporting the Journal of Ai ML DL and advancing research in artificial intelligence, machine learning, and deep learning.