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.

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.

In this paper, we propose a novel data-driven policy making framework based on TOWS analysis, a well-established method for strategic extraction that systematically integrates internal strengths and ...

Scientists have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the supercomputing power of explainable artificial intelligence (AI).

Written by Christina Egea, MVP, Product Management, Enterprise Data, Capital One It’s well known that having plentiful, high-quality data is necessary to becoming a data-driven organization.

HBR On Strategy / Episode 100 The Right Way to Make Data-Driven Decisions Listen | Podcast loading... Your data is only as good as how you interpret it.

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 ...

For startup leaders, here are the essential components of building a robust business development framework centered on data analytics.

If you are in the field of web application testing, then your efficiency is directly proportional to the framework you are working on. The decision to choose the framework is directly up to you. Two ...

Data-Driven Framework: This approach enables the execution of the same test script with various data sets. It segregates test data from test logic, simplifying the maintenance and extension of tests.