Abstract: Data-driven models are widely adopted, but their opaque nature often hinders understanding and trust. This paper introduces a novel human-in-the-loop framework for interactive and ...

Abstract: This paper proposes a data-driven iterative optimization framework tailored for multi-winding transformers. Integrating clustering-based initialization, forward artificial neural network ...

Transit workers across the U.S. are facing an epidemic of violence and injury, with assaults on these essential frontline employees having tripled since 2008, according to data from the National ...

Nevada has adopted a Statewide Policy for Data Classifications, which establishes a framework for how information across the executive branch is classified and protected. The new policy, approved Feb.

Selenium-based automation testing framework using Java, TestNG, and Maven with support for Smoke, Sanity, Regression, and Master suite execution.

SAP has adopted the impact measurement and valuation (IMV) framework to analyse its ESG data. Credit: SAP SAP's Impact Measurement and Valuation (IMV) framework translates complex ESG data into ...

In this work, we explore a data-driven, deep learning-based approach. We begin by creating a large-scale dataset through electrophysiology simulations using biologically realistic computational models ...

A data-driven framework was proposed in this paper to enhance the accuracy of load power forecasting and improve the economy and reliability of security-constrained unit commitment (SCUC) scheduling.