Change-point detection in time series analysis comprises a suite of statistical and computational techniques aimed at identifying times at which the probabilistic structure of sequential observations ...

This repository contains the main codebase for the undergraduate thesis: "Fusión de sensores para el seguimiento de trayectorias en vehículos autónomos mediante modelos probabilísticos" (Sensor Fusion ...

Abstract: The problem of sequential change diagnosis is considered, where a sequence of independent random elements is accessed sequentially, there is an abrupt change in its distribution at some ...

Intelligencia AI, a provider of AI-powered solutions that support data-driven decision-making in drug development, announced that the U.S. Patent and Trademark Office (USPTO)issued U.S. Patent No.

Abstract: In this article, series arc fault detection and identification is investigated for dc microgrids using a statistical model based on nodal analysis. The consecutive sample difference of the ...

The full probability formula and Bayes' formula are important formulas in probability theory, mainly used to calculate the probability of more complex events, and they are essentially a combination of ...

Hospitals across the country are using software powered by algorithms with racial biases, according to a new report from a coalition of healthcare providers. This can cause physicians to misdiagnose ...

International Journal for Quality in Health Care, Vol. 14, No. 3 (June 2002), pp. 251-258 (8 pages) Background. Quality assurance of medical practice requires assessment of doctors' performance, ...