Journal Overview

Artificial Intelligence in Applied Sciences (AIAPP) is a peer-reviewed, interdisciplinary journal that focuses on the application of artificial intelligence technologies across a broad range of scientific, engineering, and industrial fields. The journal provides a dynamic platform for researchers, practitioners, and innovators to share original research, cutting-edge methodologies, and practical insights into how AI is transforming applied sciences. Artificial Intelligence in Applied Sciences publishes original research articles, review papers, technical notes, and application case studies on topics including, but not limited to: AI in Healthcare and Biomedical Engineering Smart Agriculture and Precision Farming AI Applications in Energy and Environmental Systems Industrial Automation and Intelligent Manufacturing AI-Driven Materials Science and Chemical Analysis Natural Language Processing and Human-Machine Interaction Robotics and Autonomous Systems Predictive Modeling and Decision Support Systems AI in Transportation, Logistics, and Smart Cities Computer Vision and Image Processing in Applied Contexts Cyber-Physical Systems and Internet of Things (IoT) Simulation, Optimization, and Control using AI Artificial Intelligence in Applied Sciences encourages interdisciplinary approaches that combine domain expertise with AI methods such as machine learning, deep learning, reinforcement learning, and evolutionary algorithms. The journal aims to bridge the gap between theoretical AI research and its deployment in practical, real-world applications. By promoting research that demonstrates measurable impact and innovation, the journal seeks to advance scientific understanding, operational efficiency, and sustainable solutions in sectors including healthcare, energy, agriculture, industry, and infrastructure. Submissions exploring the ethical, societal, and regulatory aspects of AI applications are also welcomed. Artificial Intelligence in Applied Sciences is committed to publishing high-quality research that drives progress in AI-enabled technologies and fosters the responsible integration of intelligent systems in solving today’s complex global challenges.