The US equity market stands at the most extreme valuations in history, on the measures we find best correlated with actual ...

Master proteomics database searching. Learn how algorithms match mass spectra to sequences and optimize identification.

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

This project studies how a real-world variable behaves after applying a non-linear transformation and how its probability density function (PDF) can be learned directly from data. The dataset used is ...

Abstract: It is well-known that power systems operation always affected by various uncertainties which make the bus voltage a random process that can be characterized by its probability density ...

If the probability that a randomly selected person will vote in the next election is 0.39, how would we find the probability that more than half of the people in a sample of 1000 will vote? Since the ...

Fragmented cover turns edges into predator lanes letting raccoons and opossums find nests fast and driving a seasonal clutch ...

Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, “Probability is the ...

Abstract: Stochastic uncertainty, comprising both aleatory and epistemic uncertainties, is intrinsic in the distributed generation (DG). However, existing distribution system state estimation (DSSE) ...