eISSN: 3087-4262 editor@aimjournals.com
All Journals
Submit your article
  • Home
  • Journal Info
    • Publication Ethics
    • Open Access Policy
    • Instruction For Authors
    • Copyright Statement
    • Indexing
    • Plagiarism Policy
    • Peer Review Policy
    • Article Processing Fees
  • Current
  • Archives
  • About
    • Aim & Scope
    • About the Journal
    • Editorial Team
    • Privacy Statement
  • Contact
🇲🇺

International Journal of Intelligent Data and Machine Learning

Open Access Peer Review International

Vol. 3 No. 06 (2026): Volume 03 Issue 06

Published: 2026-06-01
Articles pp. 1-5 Published: 2026-06-01

A Hybrid Quantum–Classical Deep Learning Approach for Image Recognition: Performance Analysis of Quanvolution-Based Convolutional Models

Dr. James William Carter, Dr. Emily Rose Thompson (Author)
👁 0 ⬇️ 0 PDF View Article
Articles pp. 6-11 Published: 2026-06-02

A Scalable Python-Based Architecture for Causal Structure Learning in Non-Gaussian Linear Systems Using the PyCD-LiNGAM Framework

Dr. Sara Mohammadi (Author)
👁 0 ⬇️ 0 PDF View Article
Articles pp. 12-17 Published: 2026-06-04

Distributed Stream Processing Models for Financial Markets: A Theoretical Investigation of Kafka-Based Infrastructure in High-Frequency Digital Finance Systems

Dr. Amir Reza Khosravi (Author)
👁 0 ⬇️ 0 PDF View Article
Articles pp. 18-27 Published: 2026-06-30

Sentiment Analysis of Social Network Comments for Identifying Opinion Leaders Using Machine Learning

Ripunjay Kumar (Author)
https://doi.org/10.55640/ijidml-v03i06-04 👁 0 ⬇️ 0 PDF View Article

About the Journal

The International Journal of Intelligent Data and Machine Learning (IJIDML-3087-4262) is a peer-reviewed, open access international journal dedicated to publishing cutting-edge research in the fields of data science, artificial intelligence, and machine learning. The journal follows a rigorous double-blinded peer review process to ensure the publication of high-quality, original, and impactful scientific contributions.

Research Impact Factor = 9.02 (By Research Bib)

Aims & Scope

All articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Under this license, authors retain full copyright and grant others the right to share and adapt the work for any purpose, even commercially, as long as appropriate credit is given.

Quick Links

  • Current Issue
  • Archives
  • Submit a Manuscript
  • Publication Ethics
  • Open Access Policy
  • Archiving Policy
  • Indexing
  • Instruction For Authors

Editorial Office

International Journal of Intelligent Data and Machine Learning
Editorial Office
Email: info@aimjournals.com
Please contact us for editorial inquiries, review processes, and technical support.
Mauritius

Powered by The Pinnacle International Journals | International Journal of Intelligent Data and Machine Learning