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

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Embryological and Anatomical Introduction, others. These are some of the activities that require water to be developed. However, in the same way as their water use has increased, it has also been detected an accelerated deterioration of its quality. In this sense, to have predictive knowledge about Water Quality (WQ) conditions, can provide

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Intracranial Aneurysms in Children,milies. Frequently, its production is affected by several factors such as climate, soil, water, wind, among others. This paper presents a Machine Learning approach for classifying cacao production in the region of Santander, Colombia. The proposed system aims to link climate and cacao production dat

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https://doi.org/10.1007/978-3-540-68320-9 Coffee Rust. It causes losses around 30% in Colombian coffee crops. Sever-al studies propose the use of computer sciences techniques for the automat-ic detection of conditions that trigger epidemics. On the other hand, the knowledge of experts in the control of the disease needs to be disseminated

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The Internal Maxillary Collateral Pattern,cts with (sequences of) networks, but this approach neglects important dynamical features of exchanges, that are known to play a key role in spreading. We use here a fully dynamic modeling of contacts and empirically compare the spreading outbreaks obtained with it to the ones obtained with network

Substitution

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Aerate

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Tumors of the Spinal Column and Spinal Cord,n. 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