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Titlebook: Urban Acupuncture; Jaime Lerner Book 2014Latest edition Jaime Lerner 2014 architecture.city life.place-making.sustainability.urbanism.urba

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Jaime Lernerrformed using a Convolutional Neural Network (CNN). The process consists of three main stages: face detection, facial feature extraction and facial emotion classification using the FER-2013 dataset. The results obtained for facial emotion recognition show a satisfactory identification rate of 95%, w
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Jaime Lernerres of multi-granularity can be learned in feature learning layer. In the interactive information fusion layer, multi-granularity text features and image features are interacted and fused, and the last classification layer uses the features learned last time to complete classification. The proposed
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Jaime Lerner, the feature map is fed into the classifier to complete the detection of the destroyed area after the precise target features are captured by the CapsNet module (CapsNet). In the destruction area detection experiment carried out in the remote sensing images after the 2010 Haiti earthquake, the accu
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24-Hour Shopkeepers in New York City,S.K. Deli, New York City. Photo by Dan DeLuca.
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Rescuing a River,Umbrellas hang above the revitalized Cheonggyecheon River in Seoul, South Korea. Photo by Diana Lim, ..
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