Researchers proposes a hybrid framework considering feature extraction to achieve more accurate and stable life prediction performance of the battery. The hybrid framework combines variational ...

The framework enables accurate estimation of soil cadmium thresholds based on food safety standards, offering a powerful tool for safeguarding wheat production in contaminated regions.

Hara Krishna Reddy Koppolu, a seasoned AI and data engineering expert, believes that customer interactions across industries can be transformed by leveraging an AI-driven data engineering framework.

At the beginning of September, the UK’s Department of Health and Social Care (DHSC) released an initial code of conduct for data-driven healthcare technology. The guidance outlines a commitment from ...

A data-driven framework for highway design uses machine learning to improve decision-making by analyzing terrain, weather, and traffic in real time. This adaptive system enables smarter, safer ...

In “ Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective,” I laid the groundwork for a scalable, metadata-driven ETL framework using Azure Data Factory (ADF).