Soft Computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. This series of Conferences are mainly focused on its industrial and environmental applications.


The topics of interest include, but are not limited to:
Evolutionary Computing
Neuro Computing
Probabilistic Computing
Immunological Computing
Hybrid Methods
Causal Models
Case-based Reasoning
Chaos Theory Fuzzy Computing
Intelligent Agents and Agent Theory
Interactive Computational Models
Rough Sets and Granular Computing

The application fields of interest cover (soft computing related), but are not limited to:

Industry 4.0
Decision Support
Process and System Control
System Identification and Modelling
Optimization
Signal or Image Processing
Vision or Pattern Recognition
Condition Monitoring
Fault Diagnosis
Robotics
Systems Integration
Motion Control & Power Electronics
Biomedical Engineering
Natural Resources Management
Climate Change
Global Warming
Biodiversity Protection
Pollution Reduction
Internet Tools
Human Machine Interface
Time Series Prediction
Virtual Reality
Reactive Distributed AI
Telecommunications
Consumer Electronics
Industrial Electronics
Industrial Internet of Things
Manufacturing Systems
Power and Energy
Data Mining
Data Visualisation
Intelligent Information Retrieval
Bio-inspired Systems
Autonomous Reasoning
Intelligent Agents
Databases