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 5, Issue 1 (2025)
Articles
Advanced Machine Learning Models for Accurate Kidney Cancer Classification Using CT Images
Dhuha Abdalredha Kadhim and Mazin Abed Mohammed
DeepSeek: Is it the End of Generative AI Monopoly or the Mark of the Impending Doomsday?
Malik Sallam, Kholoud Al-Mahzoum, Mohammed Sallam, and Maad M. Mijwil
Bridging Law and Machine Learning: A Cybersecure Model for Classifying Digital Real Estate Contracts in the Metaverse
Faris Kamil Mihna, Hazim Akram Sallal, Lobna Abdalhusen Al-Seedi, Hasan Ali Al- Tameemi, Mustafa Abdulfattah Habeeb, Yahya Layth Khaleel, and Dheyaa A. Mohammed
Overview of the CICIoT2023 Dataset for Internet of Things Intrusion Detection Systems
Wisam Ali Hussein Salman and Chan Huah Yong
Coupling a dual tree - complex wavelet transform with K-means to clustering the epileptic seizures in EEG signals
Raid Lafta and Rasha Hallem Razzaq
A Comparative Study of RFID System Performance in Large-Scale Network Planning Facility
Ali Abdulqader Al Qisi, Azli Bin Nawawi, and Adel Muhsin Elewe
Intelligent Techniques for Autism Spectrum Disorder Diagnosis: A Review
Ekraam Jabier, Ali Fadhil Marhoon, and Ammar A. Aldair
Advances and Insights in Image Texture Analysis : A Review
Ghaith H. Alashour and Nidhal K. El Abbadi
Precise Kidney Stone Localization in Medical Imaging via a Capsule Network
Omar Hammad Jasim, Daniah Abdul Qahar Shakir, Mohammed Shihab Hamad, and Waleed Kareem Awad
UIR: Implementing Deep Neural Networks in addition to Conventional Algorithms for Ultra-Image Recovery
Ali Salim Rasheed, Alaa Hamza Omran, Mohammad Aljanabi, Mohammed Almaayah, Rami Shehab, Mansour Obeidat, Theyazn H. H. Aldhyani, and Mosleh Hmoud Al-Adhaileh
Hybrid Quantum-Assisted Deep Learning Model for Early-Stage Alzheimer’s Disease Classification Based on MRI Images
Eman A. Radhi, Mohammed Y. Kamil, and Mazin Abed Mohammed
AI-Driven Smart Contract Vulnerability Detection: A Systematic Review of Methods, Challenges, and Future Prospects
Saad AL Azzam, Raenu AL Kolandaisamy, and Ghassan AL Dharhani
Towards Autonomous Optical Fibre Networks: High-Precision EDFA Gain and Spectral Response Prediction via Hybrid CNN-LSTM Deep Learning
Ibtesam Hussien Htaat, Mudhafar Hussein Ali, and Abdulla Khudiar Abass
A Hybrid Machine Learning Approach for Enhanced Diabetes Prediction: Integrating Image and Numerical Data
Ahmad Shaker Abdalrada, Ali Fahem Neamah, Huda Lafta Majeed, and Ahmed Raad Al-Sudani
Shared Generator-Based Serverless Multimodal Federated Learning For Medical Image Analysis
Mohammed Adel Al-Shahe, Ahmed Saihood, and Mustafa Asaad Hasan
PSOA-CRL: A Hybrid Multi-Objective Routing Mechanism Using Particle Swarm Optimization and Actor-Critic Reinforcement Learning For VANETs
Mustafa Maad Hamdi, Baraa Saad Abdulhakeem, and Ahmed Adil Nafea
A Robust Model for Android Malware Detection via ML and DL classifiers
Omar Almomani, Areen Arabiat, Muneera Al Tayeb, Mohammed Amin Almaiah, Mansour Obeidat, Theyazn H. H. Aldhyani, Rami Shehab, and Mahmood Rowad
Transformer-Based Genomic Classification and Simulation of Heat-Responsive Genes in Citrus limon
Ali Fahem Neamah, Zahraa A. Abdalkareem, Mostafa A. Mohammed, Jasim Ibrahim Ahmed, and Phaklen Ehkan
Enhancing Throughput in a Network Function Virtualization Environment via the Manta Ray Foraging Optimization Algorithm
Sanaa S. Alwan and Asia Ali Salman
Recognition of Alzheimer’s Disease stages via InceptionV3 and ResNet50
Iman Aljubouri, Mostafa Ragheb, and Mohamad Hamady
Uniform Resource Locator Protection Scheme for the Mitigation of Man-In-The-Middle Stripping Attacks
Duaa Sameer Zhraw, Mohammed Abdulridha Hussain, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Ali Hasan Ali, and Husam A. Neamah
Concise Comparison of CNN Models On a Specified Dataset
Humam K. Yaseen, Saif S. Kareem, Bashar I. Hameed, and Salam K. Abdullah
A Novel AI-based Dependency-aware Algorithm for Prioritizing Software Requirements in Large-scale Projects
Nahla Mohamed, Waleed Helmy, and Sherif Mazen
Intelligent Forecasting of Solar Atmospheric Disturbances via Capsule Neural Networks and Space Weather Data
Eman Turki Mahdi, Mohammed E. Seno, and Abdullah I. Abdulghafar
Virtual Personalities and Smart Analytics in the Digital Environment: Legal and Applied Framework for Big Data and Financial Transaction
Hazim Akram Sallal, Faris Kamil Mihna, Lobna Abdalhusen Al-Seedi, Mustafa Abdulfattah Habeeb, and Yahya Layth Khaleel
Validation Framework for Robust and Explainable Machine Learning Models in Autism Spectrum Disorder Triage
Ghadeer Ghazi Shayea, Mohd Hazli Mohammed Zabil, A. S. Albahri, Rula A. Hamid, O. S. Albahri, A. H. Alamoodi, and Iman Mohamad Sharaf
Optimized Wavelet Scatter Method for Accurate Classification and Segmentation of Lung Nodules
Enas Hamood Al-Saadi, Ahmed Nidhal Khdiar, and Nidhal K. El Abbadi
