Computational Mathematics and Artificial Intelligence
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 700
Special Issue Editors
Interests: big data problems; data mining algorithms; computational mathematics; time series modeling; artificial intelligence; deep learning; continual learning; intelligent systems
Interests: artificial Intelligence; data science; machine learning; computational intelligence; neural networks; deep learning; neuro-fuzzy systems; various nature-inspired algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: type-2 fuzzy logic; fuzzy control; neuro-fuzzy; genetic-fuzzy hybrid approaches
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computational mathematics and artificial intelligence have somehow been developed in synergy since the early days of their development, with tremendous advances being made in these two fields over the last two decades. Computational mathematics has served as the backbone of many advances in artificial intelligence for years. On the other hand, an increasing amount of research reports that AI-based algorithms can be developed to satisfactorily address pertinent issues in computational mathematics.
The purpose of this Special Issue is to promote interdisciplinary research and further enhance the synergy of computational mathematics and artificial intelligence. This Special Issue focuses on recent advances in interdisciplinary approaches and applications involving these two fields. Topics of interest include the following: efficient numerical/approximation methods, algorithmic and computational complexity, large-scale optimization, stochastic methods, computational statistics, machine learning algorithms, computational methods for deep learning, and applications like fluid computational dynamics, bioinformatics, molecular modeling, computer vision, and natural language processing.
Dr. Sio Iong Ao
Prof. Dr. Vasile Palade
Prof. Dr. Oscar Castillo
Prof. Dr. Geoffrey McLachlan
Guest Editors
Manuscript Submission Information
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Keywords
- efficient numerical/approximation methods
- algorithmic and computational complexity
- large-scale optimization
- stochastic methods
- computational statistics
- machine learning algorithms
- computational methods for deep learning
- fluid computational dynamics
- bioinformatics
- molecular modeling
- computer vision
- natural language processing
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