A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Abstract: Existing machine-learning research on power grids relies on online measurements without missing data. We propose a missing data reconstruction model based on generative adversarial networks ...
Abstract: In the renewable energy-based distributed power generation system (DPGS), the grid-connected inverter is the interface between the generation unit and the grid. Thus, the stable operation of ...