Cost reduction: Data modeling may seem like an extra step in the process, but it is a cost-effective one. The process can prevent potential oversights and glitches that often cost companies dearly.

Feature selection, a critical step in machine learning and data mining, aims to reduce dimensionality by eliminating irrelevant or redundant features, thereby improving model performance. However ...

In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

The one-day event in August will feature presentations on MBSE across the lifecycle, in Defense Department acquisition, and ...

SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the first data analytics solution built natively for live query on cloud data, announced today several new features* aimed at providing data engineers, data ...

SAN FRANCISCO, Sept. 18, 2024 — Sigma, the first data analytics solution built natively for live query on cloud data, has announced several new features* aimed at providing data engineers, data ...