Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Abstract: A physics-data-driven economic model predictive control (EMPC) is proposed in this article for effective energy harvesting in wave energy converters (WECs). By combining artificial ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

The NFL is no stranger to innovation. Over the years, teams have adopted new strategies, technologies, and data-driven ...

Lotlinx uses AI and predictive analytics to help dealerships move inventory faster and revive lost leads for higher sales.

Dengue is becoming a bigger challenge in many parts of the world, including Latin America, as the factors that influence mosquito-borne disease continue to shift. McCord noted that in the Amazon and ...

What’s launching today is Pecan’s “predictive agent,” an autonomous system that can interpret a company’s unique data structure, or “fingerprint,” by breaking down the predictive workflow into ...

Praveen Shiveswara Sridharamurthy has spent more than two decades architecting cutting-edge solutions for oil and gas operators worldwide, helping them harness the power of operational data to improve ...

WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...