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Applications of Computational Intelligence, Volume 2
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Computational Intelligence (CI) is the theory, design, application, and development of biologically and linguistically motivated computational paradigms. CI mainly includes three parts: neural networks, fuzzy systems, and evolutionary computation. CI has been widely used to solve complex problems in various domains, such as image processing, point cloud processing, and classification. Due to the great advantages of CI in dealing with practical application problems, more and more researchers have paid attention to the theoretical research and application of CI in recent years. This reprint reports the latest research on applications of computational intelligence. Many novel and interesting methods are introduced, which provide guiding significance for the further development of computational intelligence.
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Keywords
- analytic hierarchy process
- ant colony algorithm
- applications of computational intelligence
- artifact suppression
- artificial intelligence
- artificial neural network
- attention mechanism
- building footprint extraction
- chaotic encryption
- combustion chamber
- Computational intelligence
- convolutional neural network
- cryptographic medical images
- DAFSA
- DarkNet53
- data sampling
- DCT
- deep learning
- demand forecasting
- emergency material scheduling
- gas turbine
- generative adversarial network
- gray prediction
- image super resolution
- industrial internet of things
- intelligent computing
- knowledge graph
- knowledge graph embedding
- link prediction
- LSTM model
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- migration learning
- multi-objective optimization
- multi-scale
- multiple co-existing ALM routing trees
- NasNet-Mobile network
- network security situation assessment
- neural networks
- node congestion
- one-off optimization
- optical flow
- perception design
- quaternion
- relation pattern
- Remote-sensing images
- thema EDItEUR::U Computing and Information Technology::UY Computer science
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