Submissions

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Author Guidelines

Overview

IJAMLDS publishes peer-reviewed research on artificial intelligence, machine learning, data science, predictive analytics, and responsible intelligent systems.

Manuscript Requirements

  • Manuscripts must be written in English.
  • Provide a 50 to 150 word abstract and 4 to 6 keywords.
  • Use the journal manuscript template and keep the paper within a recommended maximum of 10 double-column pages.
  • Describe datasets, models, training procedure, validation strategy, and compute environment clearly.
  • Submit the manuscript in Word, RTF, or PDF. The editorial office may request an editable source file after acceptance.

Submission and Review Flow

  1. Prepare the manuscript using the IJAMLDS template.
  2. Ensure the file is anonymized if the selected section requires blind review.
  3. Submit through the journal submission workflow in OJS.
  4. Editorial screening checks scope, formatting, originality, and completeness.
  5. Eligible manuscripts are reviewed by at least two independent reviewers.
  6. Revisions, the signed copyright form, and publication fee processing are completed only after acceptance.

Required Downloads

Journal-Specific Expectations

  • Identify datasets, model versions, hyperparameters, and hardware or cloud environment.
  • Report evaluation against strong baselines and describe error analysis or ablations where relevant.
  • Include data, code, reproducibility, and responsible AI information when available.

Publication Fee

USD 100 is charged only for accepted papers. No submission fee is charged.

Submission Preparation Checklist

All submissions must meet the following requirements.

  • The manuscript is original, has not been published previously, and is not under review elsewhere.
  • The submission file is in Word, RTF, or PDF format and follows the journal template referenced in the Author Guidelines.
  • The manuscript includes title, abstract, keywords, main text, references, and any required statements on funding, conflicts of interest, and data or code availability.
  • Datasets, model versions, training procedure, validation strategy, and hardware or compute environment are identified clearly.
  • Evaluation uses appropriate baselines or benchmarks and reports limitations or error analysis where relevant.
  • Any claims about responsible AI, fairness, privacy, or reproducibility are documented clearly.
  • Blind-review instructions have been followed where required.

Copyright Notice

By submitting to this journal, the corresponding author confirms that the manuscript is original, that all listed authors approve the submission, and that all necessary permissions for third-party content have been obtained.

If the manuscript is accepted, the signed copyright and publication consent form must be returned before copyediting and production begin.

Required form: IARTC copyright transfer form.

Privacy Statement

The names, affiliations, and email addresses entered in this journal site will be used only for editorial processing, peer review administration, publication, indexing, archiving, and communication related to this journal. They will not be used for unrelated purposes or shared with third parties except where required for publication, indexing, archiving, payment processing, or secure system administration.