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 ...

AI-based platforms are transforming how we navigate digital ecosystems. Using artificial intelligence, these platforms analyze vast datasets, enabling personalized content recommendations, enhanced ...

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 ...

Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...

Abstract: Big data provide valuable insights by offering diverse information and sophisticated analysis through advanced algorithms. However, its huge volume, variety, and speed present significant ...

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 ...

Spike sorting is an essential process in neural recording, which identifies and separates electrical signals from individual neurons recorded by electrodes in the brain, enabling researchers to study ...

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.