Focus And Scope
The journal aims to serve as an scientific platform for the dissemination of research in the areas of mathematical modelling, statistical computation, computer science, and data science with a strong emphasis on data-driven methodologies and intelligent systems. The journal covers, but is not limited to, the following areas:
- Field of Mathematics modelling and its application
- Data-driven and hybrid mathematical modelling
- Dynamical systems and spatiotemporal modelling
- Optimization, inverse problems, and uncertainty quantification
- Scientific computing and numerical simulation
- Applications in environmental systems, healthcare, engineering, and socio-economic systems
- Field of Statistics computation
- Computational statistics and Bayesian methods
- Statistical learning and inference for large-scale and high-dimensional data
- Monte Carlo methods and resampling techniques
- Probabilistic modelling and graphical models
- Causal inference and experimental design
- Field of Computer Science
- Machine learning and deep learning
- Computer vision, image and video analysis
- Natural language processing
- Data engineering and big data systems
- Distributed and cloud computing for data-intensive applications
- Artificial intelligence systems and software engineering
- Field of Data science and intelligent system
- End-to-end data science pipelines and analytics
- Predictive, descriptive, and prescriptive analytics
- Big data analytics and real-time processing
- Explainable and trustworthy artificial intelligence
- Intelligent decision support and recommender systems
- Multi-modal data analysis and sensor data integration
- IoT-enabled intelligent systems and cyber-physical systems