The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Abstract: Modelling of contact-rich tasks is challenging and cannot be entirely solved using classical ... paper presents a data-driven control approach that employs a recurrent neural network to ...

Data analytics has ... time is critical, so predictive analytics is key for high-impact decisions. Teams charged with driving growth and improving financial lives use analytics to determine ...

The idealized assumption will limit the application of these methods. To address this problem, a data-driven model predictive control (DMPC) strategy is designed to stabilize the aperiodic ...

“We first developed a comprehensive data library of crop-specific irrigated and rainfed harvested areas for all countries,” Kebede said. “This involved two years of gathering data from ... available ...