A paper proposing a hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction was published in the journal Green Energy ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...