Titlebook: Advances in Computational Intelligence; 15th International W Ignacio Rojas,Gonzalo Joya,Andreu Catala Conference proceedings 2019 Springer

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Canto Three: Rewriting Reading, pathology rely on a patient’s subjective assessment which reflects a need for a laboratory assay able to predict the clinical patient phenotype. According to the literature, global assays such as thrombin generation (TG), are good predictors of bleeding episodes and therefore seem to be good candid

visceral-fat

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: Beginning the Hermeneutic of Intimacy,gnificant progress has been made in the domain of action recognition in the past. Though video based action recognition has progressed well using state of the art deep learning techniques, its applications are limited to some higher level actions like throwing, jumping, running etc. There has been s

eczema

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: Celebrity and the Subject of Modernity, disease. In this way, computational image processing might support this task. In this work a proposal which employes deep learning convolutional neural networks is presented. Then, an ensemble of networks is considered in order to obtain an enhanced recognition performance of the system by the cons

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https://doi.org/10.1007/978-3-658-36147-1a rotational welding process. The solutions are based on the LeNet and AlexNet networks that are extended with previous convolutional layers based on 1D-pDFT (1D Polar Discrete Fourier Transform) and Gabor filters. The new layers add to the network the ability to deal with the images by means of kno

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