The Mesopotamian Journal of Big Data (MJBD) is an international, double-blind peer-reviewed open-access journal established in 2021. We publish articles continuously, meaning papers are made available immediately after editorial acceptance, ensuring timely dissemination of research. All articles are published in English under a CC BY license, with authors retaining copyright, making research freely accessible for broader impact. Please note that an Article Processing Charge of 1,000 USD is applicable upon acceptance of a manuscript.
MJBD is dedicated to advancing the theory, technologies, analytics, and applications of Big Data across various domains. Our scope encompasses critical areas such as Big Data Architecture and Infrastructure, Data Analytics and Machine Learning, Data Management and Governance, Emerging Technologies and Innovations, and diverse Applications in Science, Engineering, and Society. We welcome Original Research Articles, Review Articles, and Editorial Papers that offer innovative methodologies and practical insights into the challenges and opportunities presented by Big Data.
The journal is indexed in reputable services including Scopus, ISSN, Crossref (with DOI registration), and ROAD. We strive for an efficient publication process, with an average review time of 40 days from submission to the first decision, and an average acceptance to publication time of 3 weeks.
See the Aims and Scope for a complete coverage of the journal.
Current Issue: Volume 6, Issue 1 (2026)
Articles
Automatic Classification of Orange Fruit Diseases Using Multilayer Deep Features and Traditional Machine Learning Classifiers
Maha A. Rajab, Faris Ali Jasim Shaban, and Kadhim Mahdi Hashim
Joint Channel–Spatial Attention with Curriculum Learning for Robust Crowd Density Estimation
Heba M. El-Hoseny, Heba F. Elsepae, Ehab K. I. Hamad, and El-Sayed M. El-Rabaie
Vision Transformer Model for Multiclass Classification and Localization of Thoracic Abnormalities in Chest X-rays
Mohammed Ahmed Talab, Sumia Abdulhussien Razooqi AL-Obaidi, Othman I. Hammadi, Suryanti Awang, Nur Syafiqah Mohd Nafis, and Hasan Kahtan
Continuous Deep Learning with Elastic Weight Consolidation for Robust Multi-Class Lung Cancer Diagnosis
Zainab Muhammed and Belal Al-Khateeb