Aim and Scope
The Journal of Mathematical Modelling and Artificial Intelligence (JMMAI) aims to advance high-quality research at the interface of mathematical sciences and artificial intelligence. The journal is committed to promoting the development of rigorous theoretical frameworks, innovative modelling techniques, and advanced computational methodologies that contribute to the evolution of intelligent systems.
JMMAI provides a scholarly platform for the dissemination of original research articles, review papers, and short communications that emphasize the integration of mathematical modelling with artificial intelligence. The journal particularly seeks contributions that enhance the theoretical foundations, analytical methods, and algorithmic approaches underlying intelligent and data-driven systems.
Scope of the Journal
The scope of the journal includes, but is not limited to, the following areas:
- Mathematical modelling and simulation
- Optimization techniques and operations research
- Computational and applied mathematics
- Statistical modelling and probabilistic methods
- Machine learning and deep learning algorithms
- Artificial intelligence and intelligent systems
- Data-driven modelling and analysis
- Algorithm design and complexity analysis
- Numerical methods and scientific computing
JMMAI encourages interdisciplinary research that strengthens the connection between mathematics and artificial intelligence while maintaining a strong emphasis on theoretical rigor and methodological innovation. The journal is dedicated to upholding high standards of academic integrity, a robust peer-review process, and the dissemination of impactful research within the global scientific community.
