(The following topics include but are not limited to)
Track 1: Applied Mathematics
Initial-boundary value problems
Mathematical physics inverse problems
Homogenization theory
Combinatorics
Complex dynamics
Difference and differential equations
Random walk and iteration theory
Stability theory
Symmetry and integrable systems
Special functions and orthogonal polynomials
Applications of computer mathematics
Mathematical theory of artificial intelligence
Track 2: Machine Learning
Supervised learning and algorithm optimization
Unsupervised and self-supervised learning
Deep learning and neural networks
Transfer and reinforcement learning
Reinforcement learning and decision systems
Big data and distributed learning
Machine learning and data mining techniques in agriculture
Intelligent sensing and agricultural Internet of Things technology
Reinforcement networks and intelligent control
Robustness and interpretability
Multimedia design and generation
Track 3: Intelligent Algorithms
Cloud computing
Evolutionary computation and learning
Genetic algorithms
Particle swarm optimization and niche techniques
Bee colony intelligence and optimization
Expert systems
Natural computing
Quantum computing Neural Network
Fuzzy Theory and Algorithms
Pervasive/Ubiquitous Computing Machine Learning
Knowledge discovery and data mining
Natural language processing
Computational linguistics
Intelligent computing in robotics
Intelligent computing in communication networks
Intelligent data analysis and prediction
Intelligent fault diagnosis ……