About the Journal

InfoTech Spectrum: Iraqi Journal of Data Science (IJDS)

Welcome to InfoTech Spectrum: Iraqi Journal of Data Science (IJDS), 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: IJDS 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: IJDS 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.

Current Issue

Vol 1, No 1: June (2024)
					View Vol 1, No 1: June (2024)
Published: 2024-06-01

Information Security and Cybersecurity

  • Enhancing Malware Detection Through Machine Learning Techniques

    Zeina S. Jassim , Mohamad M. Kassir
    1-15
    DOI: https://doi.org/10.51173/ijds.v1i1.4

Machine Learning and Artificial Intelligence

  • Rotation Invariant Technique for Sign Language Recognition

    Mohamed T. Dardoh Al-Obaidi, Ali M. Sahan , Ali S. Al-Itbi
    16-26
    DOI: https://doi.org/10.51173/ijds.v1i1.6

Computer Networks

  • A Hybrid Technique Based on RF-PCA and ANN for Detecting DDoS Attacks IoT

    Hayder Jalo, Mohsen Heydarian
    27-41
    DOI: https://doi.org/10.51173/ijds.v1i1.9

Natural Language Processing

  • Evaluating The Impact of Feature Extraction Techniques on Arabic Reviews Classification

    Hawraa Alshammary, Mohammed Fadhil Ibrahim , Hafsa Ataallah Hussein
    42-54
    DOI: https://doi.org/10.51173/ijds.v1i1.10
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