Aim & Scope

International Transactions on Artificial Intelligence (ITALIC) is dedicated to rapidly disseminating cutting-edge research results in the field of Artificial Intelligence (AI). This journal focuses on publishing high-quality papers related to the interdisciplinary application of AI, encompassing both experimental and theoretical research. The scope of this journal offers a broad spectrum of topics aimed at addressing complex methodologies intrinsically connected to Artificial Intelligence.

The journal aims to bring together scientists and researchers from various approaches and communities, fostering collaboration in the AI field.

ITALIC Research Areas

International Transactions on Artificial Intelligence (ITALIC) covers a wide range of topics, including but not limited to:

1. AI Applications in Green Technology
Exploring the integration of AI in green technology to develop sustainable solutions, such as renewable energy systems, energy efficiency, and climate change mitigation strategies.

2. Machine Learning and Intelligent Algorithms
Research focused on the development of advanced machine learning algorithms and their application in data processing across multiple domains, including healthcare, finance, and transportation.

3. Expert Systems and AI-Based Decision Support
Investigating the role of AI in expert systems designed to aid complex decision-making processes in dynamic and uncertain environments.

4. Artificial Intelligence in Robotics and Computer Vision
Examining the use of AI in robotics and computer vision, with a focus on autonomous systems, pattern recognition, and machine learning models that enable effective interaction with human environments.

5. Hybrid Models and Fuzzy Modelling for Complex Problem Solving
Focusing on hybrid AI models, including fuzzy logic and soft computing, to address complex, real-world problems where traditional methods may not be effective.

International Transactions Artificial Intelligence (ITALIC) Indexed in: