Academic Journal
Q1Babylonian Journal of Machine Learning
About Babylonian Journal of Machine Learning
Babylonian Journal of Machine Learning is a scholarly journal published by Mesopotamian Academic Press. SCImago 2025 lists it in Q1, with an SJR of 2.051 and H-index of 13.
Coverage: 2023-2025. Research categories: Artificial Intelligence (Q1); Computer Vision and Pattern Recognition (Q1); Human-Computer Interaction (Q1); Information Systems (Q1).
Source-backed journal facts
Topics in published research
Network Security and Intrusion Detection; Brain Tumor Detection and Classification; Artificial Intelligence in Healthcare; Artificial Intelligence in Healthcare and Education; Advanced Neural Network Applications; Neural Networks and Applications.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Deep Learning-Based Pre-Processing Pipeline and Hybrid Vision Transformer Model for Deepfake Video Detection
Harith A. Hussein, Khalid Shaker, Salwani Abdullah
2026-09-19 · DOI: 10.58496/bjml/2026/012A Preemptive Ensemble Learning Framework for KnowledgeBased Network Intrusion Detection
Maad Kamal Al-anni, Ammar A Al-Hamadani, Rafah M. Almuttairi, Alharith A Abdullah et al.
2026-07-11 · DOI: 10.58496/bjml/2026/011An AI-Driven Intrusion Detection and Real-Time Autonomous Response Framework Using Network Traffic Logs: AMulti-Algorithm Approach with LightGBM Optimization
Ahmed Sileh Gifal, Hussein Mohammed Ali Makassees, Mayameen S. Kadhim, Ahmed Dheyaa Radhi et al.
2026-05-04 · DOI: 10.58496/bjml/2026/010HGS-RF: A Heuristic-Guided Selective Random Forest for Multi-Label Vulnerability Detection in Smart Contracts
Saad Nasser AlAzzam, Ghassan ALDharhani, Raenu ALKolandaisamy
2026-04-20 · DOI: 10.58496/bjml/2026/009MOGNN-EC: A Multi-Objective Optimization Framework for Efficient Energy Management and Charging Coordination in Electric Vehicle Networks
Yaseen Ali Sahood, Najlaa Nsrulaah Faris, Ahmed Rashid Alkhuwaylidee, Ahmed Saihood et al.
2026-03-19 · DOI: 10.58496/bjml/2026/003An Explainable Hybrid GWO-LightGBM Model for Breast Cancer Diagnosis Using SHAP Interpretation
Ahmed Aljuboori, Hamsa M Ahmed, M. M. A. Abdulrazzq
2026-02-24 · DOI: 10.58496/bjml/2026/002Effective Android Malware Detection Using CNN and LSTM Model with GWO-Based Feature Selection
Hawraa.O. Musa, Muhanad.T. Younis
2026-02-19 · DOI: 10.58496/bjml/2026/001DPON: A Novel Deep Learning Framework for Efficient Image Processing
Wafaa M. Salih Abed, Ghada Al-Kateb, Hussein Alkattan
2025-08-04 · DOI: 10.58496/bjml/2025/011Automated Parkinson's disease Detection from Images Using Deep Transfer Learning and Optimization
Tharaa Alsalem, Mohammed Amin
2025-07-23 · DOI: 10.58496/bjml/2025/010An Analytical Comparison of Transfer Learning Techniques for Brain Tumor Detection and Classification
Mohammed Amin Almaiah, Fuad Ali El-Qirem
2025-07-18 · DOI: 10.58496/bjml/2025/009The Impact of Generative AI on Advancing Graduate Medical Education
Vugar Abdullayev, Alex Khang, Nazila Ragimova
2025-07-10 · DOI: 10.58496/bjml/2025/008Enhancing Governmental Decision-Making through Predictive Analytics with Machine Learning-Based Data-Driven Framework
Mahdi Salah Mahdi AL-Inizi
2025-06-29 · DOI: 10.58496/bjml/2025/007Privacy-Preserving Transfer Learning for Community Detection in Multiple Networks: A Review.
Marshima Mohd Rosli
2025-04-30 · DOI: 10.58496/bjml/2025/006The Global Landscape of Technology-assisted English Language Teaching Research: A Bibliometric Analysis
Sara S. Alnakeeb, Eslam Hossam, Ramy Aldallal, Omega John Unogwu et al.
2025-03-25 · DOI: 10.58496/bjml/2025/005Enhancing Semantic Image Retrieval Using Self-Supervised Learning: A Label-Efficient Approach
Malik Sallam, Marwan Ali Shnan
2025-03-07 · DOI: 10.58496/bjml/2025/004A Bibliometric Analysis of Segment Anything (SA) Research: Global Trends, Key Contributors, and Thematic Insights
Fredrick Kayusi, Rubén González Vallejo, Linety Juma, Michael Keari Omwenga et al.
2025-02-28 · DOI: 10.58496/bjml/2025/003Analysis of the performance of algorithms (K-Means, Farthest First, Hierarchical) Using the data analysis and modeling tool Weka
Mohammed Basil Abdulkareem
2025-01-26 · DOI: 10.58496/bjml/2025/002Integrating Machine Learning and Genetic Algorithms to Enhance Gene-Disease Classification: An XBNet-Based Framework
Rana Khalid Hamad
2025-01-10 · DOI: 10.58496/bjml/2025/001Application of Artificial Intelligence (AI) in Environment and Societal Trends: Challenges and Opportunities
Benson Turyasingura, Natal Ayiga, Fredrick Kayusi, Mellon Tumuhimbise et al.
2024-11-24 · DOI: 10.58496/bjml/2024/018The Transformative Applications of Machine Learning across Healthcare, Finance, IoT, and Emerging Domains: Challenges and Future Directions
Sahar Yousif Mohammed
2024-11-02 · DOI: 10.58496/bjml/2024/017Reviews
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Version History
October 4, 2026 at 8:46 pm
September 25, 2026