Applied Artificial Intelligence and Engineering Journal (AEIJ) is an international peer-reviewed journal that publishes high-quality original research articles, review papers, and technical reports related to the application of artificial intelligence in various engineering fields. The journal aims to bridge the gap between intelligent computational methods and practical engineering solutions by promoting interdisciplinary research and innovation.

The journal welcomes contributions from researchers, academics, practitioners, and industry professionals in the fields of artificial intelligence, intelligent systems, and engineering technologies.

The scope of the journal includes, but is not limited to:

• Machine Learning and Deep Learning
• Artificial Neural Networks
• Computer Vision and Image Processing
• Natural Language Processing (NLP)
• Robotics and Autonomous Systems
• Intelligent Control Systems
• Expert Systems and Decision Support Systems
• Data Mining and Big Data Analytics
• Predictive Modeling and Optimization
• Internet of Things (IoT) and Smart Systems
• Edge Computing and Cloud-based AI Applications
• Explainable Artificial Intelligence (XAI)
• AI for Sustainable Engineering Solutions
• Intelligent Manufacturing and Industrial Automation
• AI Applications in Electrical Engineering
• AI Applications in Mechanical Engineering
• AI Applications in Civil Engineering
• AI Applications in Agricultural Engineering
• AI Applications in Industrial Engineering
• Signal Processing and Embedded Intelligent Systems
• Smart Sensors and Cyber-Physical Systems
• Human–Computer Interaction and Intelligent Interfaces
• Computational Intelligence and Hybrid Systems

AEIJ particularly encourages studies that demonstrate practical implementation, experimental validation, simulation analysis, prototype development, and real-world engineering applications of artificial intelligence technologies.