Focus & Scope

Aims
The Advanced in Artificial Intelligence and Machine Learning (AAIML) journal aims to:

  • Promote the exchange of scientific knowledge and innovation in artificial intelligence and machine learning.

  • Encourage interdisciplinary research integrating AI/ML with domains such as business, education, healthcare, and engineering.

  • Foster critical discussions on emerging trends, technical challenges, and ethical issues in AI and intelligent automation.

  • Support collaboration between academia, industry, and policymakers to accelerate technological advancement.

Scope
The journal covers a broad range of topics in artificial intelligence (AI) and machine learning (ML). The scope includes, but is not limited to, the following areas:

  • Artificial Intelligence Theory and Applications

  • Machine Learning Algorithms and Optimization

  • Deep Learning and Neural Networks

  • Natural Language Processing (NLP)

  • Computer Vision and Image Recognition

  • Data Mining and Big Data Analytics

  • Robotics and Automation Systems

  • Fuzzy Logic and Expert Systems

  • Reinforcement Learning and Predictive Modeling

  • Ethical AI and Responsible Innovation