About the Journal
The International Journal of Artificial Data Utilization and Learning (IJADUL) is a peer-reviewed, open-access journal dedicated to advancing research in artificial intelligence, data science, machine learning, and intelligent systems. IJADUL provides a global platform for researchers, academics, and practitioners to disseminate innovative findings and foster cross-disciplinary collaboration.
Scope & Focus Areas
IJADUL publishes original research articles, review papers, and technical reports in the following domains:
• Artificial Intelligence : Machine learning, deep learning, neural networks, reinforcement learning, and cognitive computing
• Data Science & Analytics : Big data processing, data mining, predictive analytics, statistical modeling, and data visualization
• Intelligent Systems : Expert systems, decision support systems, knowledge-based systems, and fuzzy logic applications
• Robotics & Automation : Autonomous robots, humanoid robotics, industrial automation, swarm intelligence, and human-robot interaction
• Internet of Things (IoT) : Smart systems, edge computing, sensor networks, and ubiquitous computing
• Natural Language Processing : Text mining, sentiment analysis, language models, and computational linguistics
• Computer Vision : Image recognition, object detection, video analytics, and pattern recognition
• Emerging Technologies : Quantum computing applications in AI, neuromorphic computing, and edge AI
