Aims & Scope
The Journal of Computational Innovation and Analytics (JCIA) publishes original research on all aspects of pure and applied computational mathematics, especially targeting papers demonstrating the use of techniques and methods originating from computational intelligence theory. The core theories of mathematics, computational mathematics, statistics, probability and uncertainty, decision science and computer science application.
Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the system's behaviour under different conditions, often for cases in which intuitive analytical solutions are not available.
The journal publishes only articles related to the use of computational intelligence and broadly covers the following topics:
- Pure Mathematics
- Applied Mathematics
- Mathematical Modeling
- Actuarial Mathematics
- Fuzzy Theory and Applications
- Financial Technology Computation
- Algorithmic Information Theory
- Applied Statistics
- Computational Statistics
- Queuing Theory
- Network Analysis
- Optimization & Simulation
- Game Theory
- Decision Intelligence
- Genetic Algorithm
- Metaheuristics Algorithm
- Data Analytics
- Educational Technology (STEM)
- Deep Learning
- Machine Learning
- Explainable Artificial Intelligence (XAI)
- Artificial Neural Network
- Cloud computing
- Data science
- Data mining
- Data visualization
- Decision support systems
- Intelligent information retrieval
- Human-machine interaction and interfaces
- Image processing
- Pattern recognition
- Prediction systems
- Real-time systems
- Risk analysis and safety-related issues
- Robotics
- Signal and image processing
- IoT and smart environments
- System control
- System modelling and optimization
- Time series prediction
- Virtual reality
- Web intelligence
- Deep learning
