The Mesopotamian Journal of Computer Science (MJCSC) is an international, peer-reviewed, open-access journal dedicated to advancing research and innovation in all areas of computer science and information technology. Established in 2021 under the Mesopotamian Academic Press (MAP) and organized by Imam Ja’afar Al-Sadiq University, MJCSC provides a global platform for disseminating original and impactful research that bridges theory, practice, and technological advancement.
The journal employs a double-blind peer-review process to ensure objectivity, integrity, and academic rigor in all published manuscripts. Articles are published in English and made freely available under the Creative Commons CC BY 4.0 license, supporting unrestricted access and global visibility. MJCSC adheres strictly to the Committee on Publication Ethics (COPE) guidelines and maintains transparency throughout the review and editorial process.
MJCSC was indexed in Scopus in 2025, underscoring its commitment to international publishing standards and research excellence. The journal publishes one issue per year on an incremental (continuous) basis, ensuring timely dissemination of accepted manuscripts throughout the year. It welcomes a variety of contributions, including original research articles, review papers, and short communications, covering topics such as artificial intelligence, cybersecurity, machine learning, data analytics, software engineering, networking, and computational systems. The average time from submission to publication is approximately 14 weeks, reflecting MJCSC’s dedication to efficient and high-quality editorial management.
See the Aims and Scope for a complete coverage of the journal.
Current Issue: Volume 5, Issue 1 (2025)
Articles
Leveraging Artificial Intelligent for Optimized Crop Production: An ANN-Based Approach
Yahya Layth Khaleel, Fadya A. Habeeb, Mustafa Abdulfattah Habeeb, and Fatimah N. Ameen
Analysis of climate change in Chelyabinsk and Kurgan: effects of temperature and precipitation from 1990 to 2020 based on CRU data
Irina Potoroko, Ammar Kadi, and Ali Subhi Alhumaima
Approach for Detecting Face Morphing Attacks Using Convolution Neural Network
Essa M. Namis, Khalid Shaker, and Sufyan Al-Janabi
Development and construction of new scanning antennas with high remote sensing capability for wireless communication systems in the millimeter wavelength range
Nagham Habeeb Shakir, Sarah R. Hashim, Ahmed Sileh Gifal, Ahmed Dheyaa Radhi, Alaa G.K. Alshami, Rusul Mansoor AlAmri, and Hussein Mohammed Ali
A Deep Learning Approach for Identifying Malicious Activities in the Industrial Internet of Things
Mohammed Amin Almaiah, Fuad Ali El-Qirem, Rami Shehab, and Khaled Sulieman Momani
ANILA: Adaptive Neuro-Inspired Learning Algorithm for Efficient Machine Learning, AI Optimization, and Healthcare Enhancement
Ismael Khaleel, Wijdan Noaman Marzoog, and Ghada Al-Kateb
WOA-COVID-19: Whale Optimization Algorithm for Selection of Multi-Examination Features based on COVID-19 Infections
Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Zaid Abdi Alkareem Alyasseri, Dawood Zahi Khutar, and Osama Ahmad Alomari
Real-Time SDN–IoT Integrated Framework for Intelligent Emergency Vehicle Prioritization in Smart Cities
Sura F. Ismail
HAZE-IMAGE-DATASET: A Large-Scale Benchmark for Image Dehazing in Variable Fog and Low-Light Conditions
Mustafa J. Shahbaz and Ali A.D. Al-Zuky
Towards Achieving the UN Sustainable Development Goals: The Role of AI in Municipality Services
Thabit Sultan Mohammed, Karim Mohammed Aljebory, and Ahmed Thabit Sultan
Synthesizing Deception: Countering Large Language Model-Generated Phishing Campaigns through Adaptive Semantic Anomaly Detection
Bekim Fetaji and Debabrata Samanta
Self-Attention Enhanced Dual BiGRU for Arabic Fake News Detection
Baqer M. Merzah, Jafar Razmara, and Jaber Karimpour
Automated Video Colorization Techniques for Enhanced Visual Realism and Computational Efficiency
Zahoor M. Aydam and Nidhal K. El Abbadi
Diabetes at a Glance: Assessing AI Strategies for Early Diabetes Detection and Intervention via a Mobile App
Ayad Hameed Mousa, Ibrahim Oday Alrubaye, Mayameen S. Kadhim, Ahmed Dheyaa Radhi, Mudatheer M. Al-Slivani, Rusul Mansoor Al-Amri, and Liaw Geok Pheng
Enhancing Routing Efficiency in VANETs by Leveraging 5G to Mitigate Congestion
Yusor Rafid Bahar Al-Mayouf, Omar Adil Mahdi, Heba Hussain Hadi, Suleman Khan, and Mazin Abed Mohammed
ROI – Enhancing Detection of Citrus Disease Based on YOLOv10
Raya N. Ismail, Armaneesa Naaman Hasoon, Israa Rafaa Abdulqader, and Salwa Khalid Abdulateef
End-to-End License Plate Detection and Recognition in Iraq Using a Detection Transformer and OCR
Younis Al-Arbo, Hanaa F. Mahmood, and Asmaa Alqassab
Enhanced TEA Algorithm Performance using Affine Transformation and Chaotic Arnold Map
Nada Hussein M. Ali, Mays M. Hoobi, and Sura Abed Sarab Hussien
Enhanced IOT Cyber-Attack Detection Using Grey Wolf Optimized Feature Selection and Adaptive SMOTE
Sura Abed Sarab Hussien, Mustafa S. Ibrahim Alsumaidaie, and Nada Hussein M. Ali
DGEN: A Dynamic Generative Encryption Network for Adaptive and Secure Image Processing
Mohammed Rajih Jassim, Qusay M. Salih, and Ghada Al-Kateb
Lightweight Deep Reinforcement Learning Model for Energy-Efficient Resource Allocation in Edge Computing
Ghassan A. Abed and Mohanad A. Al-askari
Agentic AI-Enhanced Virtual Reality for Adaptive Immersive Learning Environments
Indra Kishor, Udit Mamodiya, Mohammed Almaayah, Amer Alqutaish, Rami Shehab, and Theyazn H. H. Aldhyani
A Review of Image Steganography Based on Metaheuristic Optimization Algorithms
Fatima Abdulhussain Khalil, Ammar Ali Neamah, and Hasanen Alyasiri
Using Wearable Technology for Context-Aware of Pilgrimage Management System During/Post-Pandemic of Covid-19
Fatina Shukur, Ahmed Al-Fatlawi, Safaa Jasim Mosa, and Nasir Ibrahim
Editorial
The Next Frontier in Computer Science, Trends and Research Opportunities
Mostafa Abdulghafoor Mohammed, Z. T. Al-qaysi, and Tahsien Al-Quraishi
