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 ...

The rapid acquisition of internal flow field data in fluidized beds is essential for applications in monitoring, prediction, risk warning, prevention, and diagnostics. This study proposes an effective ...

While advances in AI have been slow to reach commercial P&C insurance, new trends in data augmentation could help pick up the pace.

By incorporating Conditional Generative Adversarial Network (CGAN) data augmentation, a cropped training strategy and a Squeeze-and-Excitation (SE) attention mechanism, EEGGAN-Net adeptly assimilates ...

Hyperspectral data for the 3D domain is relatively difficult to acquire. Existing hyperspectral datasets are unsuitable for 3D research, suffer from issues of severe data scarcity, and a lack of multi ...

Business executives often prematurely embrace data trends, influenced by competitors.