IMSS is a global knowledge-enriched collaborative effort that has its roots from both academia and industry. The symposium covers a wide spectrum of topics that relate to intelligent systems which include technical and non-technical research areas.
The mission of IMSS symposium is to provide opportunities for collaboration of professionals and researchers to share existing and generate new knowledge in the field of intelligent systems and its applications. The symposium encapsulates the concept of interdisciplinary science that studies the societal and technological dimensions of knowledge evolution in digital society. IMSS bridges the gap between academia and industry with regards to research collaboration and awareness of current development in secure information management in the digital society.
Topics
Conference topics include but not limited to:
- Advanced Production
- Artificial İntelligence And Future Limits
- Bioinformatics
- Building Information Model
- Chemical Process
- Climate Change Mitigation And Adaptation
- Computer And Intelligence İn Manufacturing Systems
- Computer Human Communication
- Consumer/Industrial Applications
- Cyber Security & Information
- Cyber-Physical Systems
- Data Mining
- Data Science
- Decision Support Systems
- Deep Learning Principles
- Defence Industries
- Digital Converters
- Digital Domination
- Economic Balance And Growth
- Economic Processes
- Fault Monitoring And Diagnosis
- Fuzzy İnference Systems
- Genetic Algorithms
- Human, Engineering And Climate Change
- Image Processing
- Industrial Robotics
- Industry 4.0
- Innovative Automative Systems
- Innovative Product Development
- Interactive And Digital Media
- Linguistic Rational Rules
- Logical Circuit Design
- Machine Learning
- Mechatronics
- Micro And/Or Nano Systems
- Modeling, Simulation And Optimization
- Natural And Artificial İntelligence Comparison
- Natural Hazard Risks
- Probability And Statistical Usages İn Science
- Quality Control And Management
- Religion And Societal Activities
- Religion, Wastage, Education,
- Science Philosophy And Logic
- Shallow Learning Principles
- Simulation And Optimization Techniques
- Smart Cities And Green Buildings
- Smart Sensor Networks
- Supply Chain Management
- System Design, Planning And Control
- Technology Assessment
- Uncertainty Modes
- Unmanned & Intelligent Systems