Titlebook: Indicators of Quality of Life in Latin America; Graciela Tonon Book 2016 Springer International Publishing Switzerland 2016 Measuring Qual

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Book 2016ries of Latin America. Organized in three parts, the book presents the methodology for the construction of new indicators, discusses quality of urban life from a geographical perspective, and examines quality of life of different populations. The book focuses on the social, economic, political, geog

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1387-6570 nthetic.Presents research on methodology for the constructioThis volume sheds new light on the use of quantitative, qualitative and synthetic indicators for the measurement of quality of life in different countries of Latin America. Organized in three parts, the book presents the methodology for the

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Spatial Segregation and Quality of Life: Empirical Analysis of Medium-Sized Cities of Buenos Aires Png and scattered plots allowed us to visualize the spatial arrangement of residential areas according to both categories. While in both cities there is an associated pattern of distribution between the two categories, the smaller city showed a better performance.

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Book 2016 midsize and smaller cities by using thematic cartography and synthesis maps, and the concept of habitability. It includes research conducted on the quality of life of different population groups: working boys and girls, high-school students, and older people.

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gn, Adenocarcinoma, or Squamous Cell Carcinoma, some pre trained deep neural networks such as VGG-19 were used. A database of 15000 histopathological images was used in which 5000 benign tissue images and 10000 malignant lung cancer-related images to train and test the classifier. The experimental r

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images for identifying the portion of the face region. Our experimental results on YouTube video face database exhibits promising results and demonstrate a significant performance improvement when compared to the existing techniques. Furthermore, our designed work is uncaring to head poses and stur

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纪念

Guillermo Angel Velázquezhe originality of this research work lies in identifying sensitive keywords that reveal Tweeter’s Personally Identifiable Information through the novel Topic Keyword Extractor. The potential sensitive topics in which the social media users frequently exhibit personal information and unintended infor