This paper proposes a data-driven incipient fault detection framework based on voltage waveform data collected from GPS-enabled power quality monitors deployed across Taiwan’s southern science parks.

Additionally, feature importance analysis provided insights into which symptoms played the most significant roles in distinguishing migraine types. The results of these analyses were used to develop a ...

A robust hybrid automation testing framework built with Java, Selenium, TestNG, and Cucumber. It features parallel execution, BDD for improved collaboration, data-driven testing, and detailed ...

Humboldt is a framework for generating dynamic data discovery UIs based on declarative specifications. It has three key design goals: expressivity, composability, and configurability. The framework ...

In this article, we propose a data-driven iterative learning control (ILC) framework for unknown nonlinear nonaffine repetitive discrete-time single-input–single-output systems by applying the dynamic ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.