A novel ovarian tumor dataset is collected and this raw dataset has missing values, incomplete data, noisy data, redundant data and outliers and these anomalies degrade the performance of mining ...

Data-driven learning methods have great potential in optimizing memristive devices, yet its application in memristor inverse modeling is still facing big challenge due to the scarcity of experimental ...

Journey The new data types in Excel feature demonstrates how teams from across the company contribute to build something quite amazing –a showcase of One Microsoft at work, and a shining example of ...

By openly sharing a wide range of preprocessed data and derivatives, the Neuro Bureau Preprocessing Initiative seeks to make neuroimaging research accessible to a wider audience of researchers.