About the Journal

 

InfoTech Spectrum: Iraqi Journal of Data Science 

Welcome to InfoTech Spectrum: Iraqi Journal of Data Science, a peer-reviewed open-access journal dedicated to advancing knowledge in the field of data science and related disciplines. IJDS serves as a platform for researchers, academics, and professionals to share their innovative research and contribute to the growing body of knowledge in data science.

Mission: InfoTech Spectrum: Iraqi Journal of Data Science is committed to fostering excellence in research and scholarship by providing a forum for the dissemination of high-quality, original research articles, reviews, and technical notes. Our mission is to contribute to the development of data science methodologies, technologies, and applications, with a particular focus on addressing the unique challenges and opportunities present in the Iraqi context.

Scope: InfoTech Spectrum: Iraqi Journal of Data Science  covers a broad spectrum of topics within data science, including but not limited to data analytics, data engineering, machine learning, artificial intelligence, big data processing, data privacy and security, applications of data science, data mining, knowledge discovery, emerging technologies, information security, cybersecurity, cloud computing, human-computer interaction, natural language processing, soft computing, and computer networks.

The InfoTech Spectrum: Iraqi Journal of Data Science follows a biannual publication schedule, with two issues released each year. The first issue is published on January 30, and the second issue is published on June 30. This regular schedule ensures timely dissemination of high-quality research and provides contributors and readers with a consistent timeline for accessing the latest advancements in data science.

 

Current Issue

Vol. 3 No. 2 (2026): June 2026
View Vol. 3 No. 2 (2026): June 2026
Published: 2026-03-30

  • Design of an Intelligent Agent for Email Automation Through NLP-Based Information Extraction from Arabic Text

    Faiez Alrufaye, Mohammed Ibraheem Hussein, Amaal Ghazi Hamad Rafash
    1-12
    DOI: https://doi.org/10.51173/ijds.v3i2.61

  • A Hybrid Firefly-Stacking Ensemble Model for Early Prediction of Type II Diabetes

    Michael Favour EDAFEAJIROKE, Prof. V. I. Osubor
    13-24
    DOI: https://doi.org/10.51173/ijds.v3i2.71

  • Cryptographic Algorithm Performance Assessment for AI Systems: ARIA, ZUC, AES, Camellia, and HC-256

    Rebwar Khalid Muhammed, Aso Mohammed Aladdin, Shilan Abdullah Hassan , Hemin Sardar Abdulla, Mohammed Abubakr Ahmed , Shaida Jumaah Sayda
    25-43
    DOI: https://doi.org/10.51173/ijds.v3i2.74

  • Hepatitis C Disease Prediction Using Machine Learning Models With SMOTE-Based Data Balancing

    Omar Shakir Hasan
    44-55
    DOI: https://doi.org/10.51173/ijds.v3i2.82

  • Optimization-Based Selective Harmonic Elimination for an 11-Level Cascaded H-Bridge Inverter: A Comparative Study

    Tabreer T. Al-Shouka , Sarah Amjad Inad , Mohammed Abed
    56-66
    DOI: https://doi.org/10.51173/ijds.v3i2.83
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