Aims and Scope

The journal welcomes original research articles, reviews, and technical contributions in, but not limited to:

  • Machine Learning (Supervised, Unsupervised, Reinforcement Learning)
  • Deep Learning and Neural Networks
  • Natural Language Processing (NLP) and Large Language Models
  • Computer Vision and Image Processing
  • Robotics and Autonomous Systems
  • Explainable AI (XAI) and Ethical AI
  • Data Mining and Big Data Analytics
  • AI in Healthcare, Finance, and Smart Systems
  • Edge AI, IoT, and Cyber-Physical Systems
  • Human-AI Interaction and Cognitive Computing

IJAIML emphasizes innovation, transparency, and reproducibility, encouraging authors to provide datasets, code, and experimental details where applicable.