The paper introduces an intraday rolling scheduling model for power distribution networks, leveraging conditional multivariate normal distribution-based stochas ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Multivariate Normal Distribution: A generalisation of the univariate normal distribution to multiple dimensions, characterised by a mean vector and a covariance matrix.

An official portable Python distribution would provide a plug-and-play, self-contained interpreter that can be extracted, used, and disposed without the overhead of the traditional installer. Key ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Volunteers uncrate and arrange food by type on tables at Normal West for a monthly distribution to those in need. The Unit 5 school district coordinates the distribution. The Eastern Illinois Foodbank ...

Interval estimation is approached asymptotically and through bootstrap. The script was illustrated using two examples: one with generated data and another with real-world data. Interpretive norms of ...

Visual inspection is one of extremely important tasks in the manufacturing system. Recently, in order to realize high performance, several promising anomaly detection algorithms based on machine ...

Rachel Jelley said she was just trying to grab some screws from the garage when the belly-crawler made its grand and unwelcomed entrance just inches from her face.

Based on the properties of the scale-invariant log-normal distribution of droplet sizes, we investigate a correlation between the moments of the distribution and the distance from ρc.