Aims and scope.

• Machine learning and deep learning for scientific discovery
• AI-driven modeling, simulation, and optimization in engineering
• Natural language processing and knowledge representation in scientific domains
• Computer vision applications in industrial and scientific systems
• AI for smart manufacturing and Industry 4.0
• Reinforcement learning in engineering decision-making
• AI applications in energy systems, healthcare, transportation, and environmental sciences
• Ethical, social, and regulatory aspects of AI in science and engineering

Open Access Statement

AISE is an open-access journal- all the manuscripts published in this journal are freely available online for anyone. It means that articles have free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles. There are no subscription or submission charges.