Abstract: This letter aims to enhance the use of the Frank-Wolfe (FW) algorithm for training deep neural networks. Similar to any gradient-based optimization algorithm, FW suffers from high ...

Abstract: Before classifying high-dimensional data, dimension-ality reduction algorithms are often used to process the data to achieve the purpose of reducing computational complexity and interference ...

The percentages of losses in water supply systems are alarming. Hydraulic modeling and simulation are widely used resources for evaluating network behavior and identifying better operating conditions ...