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Titlebook: Computational Science and Its Applications – ICCSA 2017; 17th International C Osvaldo Gervasi,Beniamino Murgante,Alfredo Cuzzocr Conference

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Creating Territorial Intelligence Through a Digital Knowledge Ecosystem: A Way to Actualize Farmer Eret local dynamics involving targeted citizens, institutions and organizations. Among the others, the domain of sustainable agriculture production could benefit from mobile technology both in terms of single user data collector and support in daily activities, and in terms of user community data pro
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Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosisn. This study includes lesion data obtained from Magnetic Resonance images taken in three different years and belonging to 120 individuals (with 76 RRMS, 6 PPMS, 38 SPMS). Many alternative methods are used nowadays to be able to find out the strong and distinctive features of Multiple Sclerosis base
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Novelty Detection for Location Prediction Problems Using Boosting Treesme a must to focus on studying these data and its impact on our social norms. In this paper, we are tackling the location novelty problem, which evaluates the user’s curiosity to explore new places. In order to maintain a better service and offer new services, such as recommending new places, optimi
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Venous Anomalies and Malformations,azil and Central America. Researchers try to predict the Incidence Rate of Rust (IRR) through supervised learning models, nevertheless the available IRR measurements are few, then the data set does not represent a sample trustworthy of the population. In this paper we use Cubic Spline Interpolation
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