The State Company for the Management of Innovation and Tourism Technologies (SEGITTUR), aims to contribute to improving the ...

Companies are rolling out AI initiatives that will never deliver returns. Here's why that's a leadership problem — not a ...

Geographic Information Systems (GIS) has undergone an impressive change in recent years, and this is owed mainly to the ...

The aggregation of healthcare data is hampered by issues such as fragmented systems, lack of data quality, and integration ...

New study findings show the vast majority of small-scale quality improvement (QI) projects in surgery suffer from poor planning that can doom the effort from the start.

At the edge Models are built on the cloud and applied at the edge. Moving data from inspection/metrology systems to the cloud to make a decision to execute back at the system is simply impractical.

Digitalization and automation enhance aseptic processing by improving speed, repeatability, and quality, with recipe-driven ...

Supervisory control and data acquisition (SCADA) evolved from a simple information aggregator to a data orchestrator ...

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

BIOMA, is turning rural waste into energy, income, and environmental solutions. In an interview with Tessy Igomu, ...

Abstract: In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded ...