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Deep Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics
In analyzing of modern biological data, we are often dealing with ill-posed problems and missing data, mostly due to high dimensionality and multicollinearity of the dataset.
Toward Smart Power Grids: Communication Network Design for Power Grids Synchronization
In smart power grids, keeping the synchronicity of generators and the corresponding controls is of great importance.
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