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This project investigates the reproducibility of various mesh generation techniques for wave modeling by employing a series of multiple regression models on a high-performance computing platform and post-processing the results to evaluate the performance of each modification in mesh refinement

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They are based on a deep learning approach that combines a convolutional neural network (CNN), connectionist temporal classification, and a recurrent neural network (RNN) [1, 95]

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Gallo et al., Expression of the antimicrobial peptide cathelicidin in myeloid cells is required for lung tumor growth

Oncotarget (2015) 6(27):2385773