Titlebook: Designing with Computational Intelligence; Nadia Nedjah,Heitor Silvério Lopes,Luiza de Macedo Book 2017 Springer International Publishing

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書目名稱Designing with Computational Intelligence影響因子(影響力)




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書目名稱Designing with Computational Intelligence被引頻次




書目名稱Designing with Computational Intelligence被引頻次學(xué)科排名




書目名稱Designing with Computational Intelligence年度引用




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書目名稱Designing with Computational Intelligence讀者反饋




書目名稱Designing with Computational Intelligence讀者反饋學(xué)科排名

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Osmosis

https://doi.org/10.1007/978-3-319-44735-3Computational Intelligence; Artificial Intelligence; Designing; Design; Intelligent Systems

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商店街

Designing with Computational Intelligence978-3-319-44735-3Series ISSN 1860-949X Series E-ISSN 1860-9503

aesthetician

https://doi.org/10.1007/978-3-322-99616-9 application in GPS-denied environments. However, the use of visual information for ego-motion estimation presents several difficulties, such as features search, data association (feature correlation), inhomogeneous features distribution in the image, etc.

aesthetician

https://doi.org/10.1007/978-3-322-99616-9ironments. The strategy is based on a map of the environment, which is created according to navigation, to plan the trajectories avoiding obstacles through the search algorithm A*. The proposed approach is evaluated in a virtual environment, where the autonomous car should move among different obstacles.

擴(kuò)音器

https://doi.org/10.1007/978-3-322-99616-9sical melodies through fuzzy logic. A real-time prototype system, for human–machine musical compositions, was also implemented to test this approach, using the emotional intentions captured from a human musician and later used to artificially compose and perform melodies accompanying a human artist while playing the chords.

nitroglycerin

Monocular Pose Estimation for an Unmanned Aerial Vehicle Using Spectral Features, application in GPS-denied environments. However, the use of visual information for ego-motion estimation presents several difficulties, such as features search, data association (feature correlation), inhomogeneous features distribution in the image, etc.

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