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Challenges and Opportunities in Applied System Innovation
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This book introduces and provides solutions to a variety of problems faced by society, companies and individuals in a quickly changing and technology-dependent world. The wide acceptance of artificial intelligence, the upcoming fourth industrial revolution and newly designed 6G technologies are seen as the main enablers and game changers in this environment. The book considers these issues not only from a technological viewpoint but also on how society, labor and the economy are affected, leading to a circular economy that affects the way people design, function and deploy complex systems.
This book is included in DOAB.
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Keywords
- 6GCIoHE theoretical framework
- 6GIIoE applications
- 6GIIoE challenges
- 6GIIoE priorities
- 6GIIoE theoretical framework
- artificial and human intelligence
- artificial intelligence
- assembly
- automotive industry applications
- bridge
- Change Management
- circular building
- Circular Economy
- circular resource flows
- Civil engineering
- Classification
- Clustering
- cognitive data intelligence
- cognitive healthcare
- Cognitive Load
- cognitive manufacturing
- common welfare
- concurrent engineering
- construction
- Construction engineering
- COVID-19
- Data science
- decision-support model
- design strategies
- digital model
- Digital twin
- Digitization
- electric power industry
- Employee motivation
- employee satisfaction
- expansion joint
- Health Management
- health-saving strategies
- human resources
- human–computer interaction
- Implementation strategies
- Industry 4.0
- information system
- joint gap
- Labor productivity
- line-scan camera
- Machine learning
- machine vision
- manufacturing industry applications
- Predictive analytics
- predictive maintenance
- process planning systems
- Quality of life
- risks and risk management
- security
- sensor
- sequential methodology
- smart bridge maintenance equipment
- socio-political assessment
- software tool
- statistical data processing
- Structural health monitoring
- Sustainable development
- system optimization
- tiny machine learning
Links
DOI: 10.3390/books978-3-0365-4402-1Editions