Numerical and Machine Learning Methods for Applied Sciences
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: 15 September 2024 | Viewed by 6287
Special Issue Editors
Interests: applied and computational mathematics; machine learning; nonlinear dynamics; time series; adaptive optics; computational particle physics
Special Issue Information
Dear Colleagues,
Artificial intelligence methods are mathematical tools designed to learn and model complex physical systems and other science and real-life situations. The broad capabilities of intelligent models have allowed a vast number of applications to emerge in recent years in fields of engineering, health science, physics, economics, computational sciences, and so on. The aim of this Special Issue is to gather the latest improvements of the intelligent models as well as new approaches in applications in science. The topics covered in this Special Issue include but are not restricted to:
- Design of self-learning models;
- Improvements on already stablished artificial intelligence models;
- Performance improvements in computing simulations;
- Applications of these models on engineering problems, such as robotics, materials, etc.;
- Modeling of complex systems;
- Numerical models implementation;
- Applications in vanguard physics problems;
- Health sciences applications;
- Bioengineering design;
- And many other possible applications.
Improvements in the field of Machine Learning and Artificial Neural Networks are particularly welcomed.
Dr. Sergio Luis Suárez Gómez
Dr. Carlos González-Gutiérrez
Guest Editors
Manuscript Submission Information
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Keywords
- Artificial neural networks
- Machine learning
- Artificial intelligence
- Learning-based models
- Control and optimization
- Numerical computing
- Nonlinear dynamics
- Time series
- Mathematical optics
- Computational particle physics
- Computational imaging
- Computational biomechanics
- Science applications
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