Titlebook: An Introduction to Computational Micromechanics; Tarek I. Zohdi (Prof.),Peter Wriggers (Prof.Dr.) Book 2005 Springer-Verlag Berlin Heidelb

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A Deep Learning-Based Approach for an Automated Brain Tumor Segmentation in MR Images,g technologies and machine learning can help radiologists detect tumors. MRIs are a commonly used imaging technique for the study of these tumors, but the vast volume of knowledge given by MRI prevents manual breakup over an acceptable time span, reducing the use of accurate quantitative calculation

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Stochastic Parameterization with Dynamic Mode Decomposition,cs. This random model is based on a stochastic transport principle, which ensures a strong energy conservation. The dynamic mode decomposition (DMD) is performed on high-resolution data to learn a basis of the unresolved velocity field, on which the stochastic transport velocity is expressed. Time-h

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When Sarcasm Hurts: Irony-Aware Models for Abusive Language Detectionwe carry out computational experiments injecting the knowledge of sarcasm in a system of hate speech detection, and iii) we adopt strategies of validation in terms of performance and significance of the obtained results. Results confirm our hypothesis and overcome the state of the art.

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G. Arendsined therein have responded to the massive fluctuations in the AUD during the 1980s. This is done by applying an econometric procedure which avoids the pit-falls in previous studies to a carefully assembled data set. Second, the study investigates the determinants of inter-product differences in the

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