Koheesio is a versatile framework that supports multiple implementations and works seamlessly with various data processing libraries or frameworks. This ensures that Koheesio can handle any data ...

Abstract: Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. A ‘Trump class’ folly on the high seas Democratic voter turnout ...

The Common Data Set can help prospective students know how much aid they could get to pay for college. Why don’t all schools provide it? By Ron Lieber A similar version of this column was published ...

Abstract: Kernel Principal Component Analysis (KPCA) is a nonlinear feature extraction approach, which generally needs to eigen-decompose the kernel matrix. But the size of kernel matrix scales with ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

University Analytics has released the WPI 2024-2025 Common Data Set in PDF format. The Common Data Set (CDS) presents a thorough and standardized collection of data that aids in institutional ...

Fans of The Matrix can add all four movies on 4K Blu-ray to their collection for cheap right now. Amazon and Walmart have The Matrix Deja Vu Collection for only $35 (was $85), which matches the ...