Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

The outage is needed to make emergency repairs to a heat-damaged power line near a substation in Jefferson Hills, Allegheny County.

By inputting the dimension-reduced IC matrix into AAKR, the issue of excessive computation time caused by lazy learning in AAKR is effectively mitigated. We applied the proposed fault detection method ...

A previous study demonstrated that power against the (unobserved) true effect for the primary end point (PEP) of most phase III oncology trials is low, suggesting an increased risk of false-negative ...

Increasing Power in Phase III Oncology Trials With Multivariable Regression: An Empirical Assessment of 535 Primary End Point Analyses. If you have the appropriate software installed, you can download ...

Generative AI and rising GPU shipments is pushing data centers to scale to 100,000-plus accelerators, putting emphasis on power as a mission-critical problem to solve.

Wind power forecasting is a crucial measure for ensuring the safe and stable operation of the power system. However, existing wind power prediction models ignore the interpretability of the model when ...

There are many studies based on wind power point forecasting, but there is a lack of wind power probability forecasting models that combine the advantages of combinatorial decomposition techniques and ...

Regression analysis with multiple SNPs is performed and a global test statistic is constructed from the beta coefficients and associated covariance matrix.