Titlebook: International Joint Conference SOCO’18-CISIS’18-ICEUTE’18; San Sebastián, Spain Manuel Gra?a,José Manuel López-Guede,Emilio Corcha Conferen

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Manuel Gra?a,José Manuel López-Guede,Emilio CorchaProvides the latest research on soft computing models in industrial and environmental applications, computational intelligence in security for information systems and European transnational education.

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International Joint Conference SOCO’18-CISIS’18-ICEUTE’18978-3-319-94120-2Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Using Genetic Algorithms to Optimize the Location of Electric Vehicle Charging Stationsle technologies. In this article, we present a Multi-Agent System (MAS) that performs an analysis of a set of possible configurations for the location of EV charging stations in a city. To estimate the best configurations, the proposed MAS considers data from heterogeneous sources such as traffic, s

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Case-Based Reasoning and Agent Based Job Offer Recommender Systemn the system. In addition to search and filtering tools, users should be presented with the content they wish to obtain before they take any action to find it. To be able to recommend content to users, it is necessary to analyse their profiles and determine what type of content they want to view. Th

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Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder. The most popular retina image method is the retinography, a technique to show the retina and other structures in the fundus of the eye. This paper deals with an important stage of the retina image processing for a diagnosis tool which aims to show the blood vessel structure. Our proposal is based

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