MESA is a novel pipeline that brings ecological principles together with multiomics data integration thereby enabling deeper and more quantitative decoding of the functional and spatial shifts of ...
Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
Abstract: This letter presents an optimization method for the design of a shaped-beam antenna array (SBAA) based on the method of maximum power transmission efficiency, addressing the limitations of ...
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