The Al-Farahidi Expert Systems Journal (FESJ) is an international, open-access publication established in 2024, dedicated to advancing research in expert systems and related computational fields. As a premier platform, FESJ focuses on cutting-edge developments in artificial intelligence, machine learning, decision-support systems, and their diverse applications across industries. The journal employs a rigorous double-blind peer review process and publishes two issues per volume annually, ensuring high-quality contributions from researchers worldwide. FESJ exclusively accepts manuscripts in English, reinforcing its commitment to global scholarly communication. As an open-access journal, it guarantees free accessibility to its content for researchers, academics, and professionals, fostering widespread knowledge dissemination. The journal prioritizes research that highlights advancements, challenges, and future directions in expert systems and their integration with real-world applications. It welcomes original research articles, comprehensive reviews, and concise communication pieces. With an efficient editorial workflow, FESJ ensures an average turnaround of 55 days from submission to acceptance, enabling the timely publication of impactful findings that contribute to the growing field of expert systems.
See the Aims and Scope for a complete coverage of the journal.
Articles
Advancements in Intelligent Systems for Industrial Management: Enhancing Efficiency and Automation
Samir Ali Amin, Salah Sabeeh Abed Al Kareem, and Laith Jaafer Habeeb
Analysis of Exhaust Gases from Marine Propulsion Plants Using Diffraction-Based Analytical Methods
Maarouf Ahmad and Mokdad Hayawi Rahman
How the Coherent Detector Works in Spread Spectrum Signals
Louay Habib Skef, Aymen Mohammed Khodayer, and jenan J. abdulkareem
ASASy: A Sentiment Analysis Corpus of Syrian Dialect Facebook Posts
Azab Ahmad and Majd Ali
Artificial Intelligence in Credit Risk Assessment: Towards More Accurate and Efficient Financial Decision-Making
Jaafar Salman
Evaluating Vision Transformers in End-to-End Steering Angle and Speed prediction of Autonomous Vehicles Using Monocular Camera Video Input on Highways
Karam Darwish and Majd Ali
A Python-Based Simulation Framework for Real-Time Environmental Data Logging in Educational IoT Applications
Huthaifa Ayad Sabri
An efficient Forecasting Tool using Machine Learning in Optimal Power Flow: A Case Study of Iraqi Weather
Haider Jouma Touma and Muhamad Mansor
Adaptive Energy-Aware Communication for Healthcare IoT Systems: A Simulation-Based Approach
Huthaifa Ayad Al-Ani
Deep Learning Approaches for Fatigue Detection: A Traditional Review of Models, Datasets, and Applications
Ahmad Ali Skaiky and H. Ayad
Survey of Wi-Fi for IoT: Architectures, Performance, and Future Directions
Maryam Sami Majeed and Narmin Majid Dahham