SpaHDmap is based on a multi-modal neural network that takes advantage of the high-dimensionality of transcriptomics data and the high-definition of image data to achieve interpretable high-definition ...
Deep Learning with Yacine on MSN
Visualizing high-dimensional data using PCA in Scikit-Learn
Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
Abstract: The aim of dimension reduction techniques is to eliminate unnecessary information from extensive datasets, thereby enhancing the effectiveness of data analysis. Some linear dimension ...
Abstract: The integration of inverter-interfaced sources into microgrids has led to new protection challenges due to fluctuating fault currents, bidirectional power flow, and low inertia. Traditional ...
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