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Titlebook: Intelligent Transport Systems. From Research and Development to the Market Uptake; Third EAI Internatio Ana Lúcia Martins,Joao Carlos Ferre

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Public Transportation Prediction with Convolutional Neural Networks networks. The results obtained shows that the proposed approach outperforms traditional machine learning techniques, such as OLS (Ordinary Least Squares) or SVR (Support Vector Regression) with different kernels (RBF or Polynomial), with more than 18% better accuracy prediction, while being computationally faster.
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Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-Miss Accidentsction. Our results show that the long-term analysis made possible by the proposed system leads to a better understanding of the risk potential of traffic areas, and can finally serve as a basis for defining and prioritizing improvements.
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Rafael Dias,Tânia Fontes,Teresa GalvãoSemantics and Ontologies in Cultural Heritage; Novel Approaches to Landscapes in Cultural Heritage; Digital Applications for Materials‘ Preservation and Conservation in Cultural Heritage; and S978-3-319-48973-5978-3-319-48974-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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vices). Dealing with mountain cultural heritage the first step was creating a pertaining database and mapping and GPS positioning of the katuns, and objects of cultural-historical importance in research area, inventorying of the katuns, determining their condition, origin and characteristics and doc
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