This conference explored Nonlinear Complex Systems and Computational Intelligence, uniting specialists in mathematics, physics, and AI. Nonlinear systems, described by nonlinear equations, behaved unpredictably, often displaying chaos and sensitivity to initial conditions. These complex behaviors made them difficult to predict and understand. Computational Intelligence offered solutions to these challenges using AI techniques like neural networks, genetic algorithms, and fuzzy logic. By leveraging these advanced computational methods, researchers were able to analyze, model, and predict behaviors in nonlinear systems. The event encouraged collaboration to address real-world issues across various fields, including biology, engineering, and economics.
This conference mainly focused on:
- Nonlinear systems and their complex nature
- Chaos and synchronization
- Numerical analysis and the development of algorithms for simulation
- Scientific computing and their applications
- Machine and deep learning
- Data driven model
- Fluid dynamics
- Fuzzy inference system
- Mathematical biological model
Book of Abstracts:

The Book of Abstracts contains:
- List of Committee Members
- List of Speakers
- Program Schedule
- The Abstracts of the Presented papers
Publication:

The European Physical Journal Special Topics (EPJ ST)
Index in: SCOPUS, Science Citation Index, Science Citation Index Expanded
Impact Factor: 2.8(2022)

Springer Proceedings in Mathematics & Statistics
Index in: SCOPUS
The rigorously pre-reviewed conference papers were recommended for submission to The European Physical Journal Special Topics (EPJ ST) for publication in the special issue, “Dynamical Analysis of Nonlinear Physical Systems: Mathematical Modeling, Artificial Intelligence, and Applications” and some of the papers were recommended for submission to the Springer Proceedings in Mathematics and Statistics
Speakers:
Reports:




