Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...

Discover how machine learning, a vital aspect of artificial intelligence, learns from data to enhance decision-making and ...

AI, predictive analytics, workplace safety, real-time alerts, threat identification, duress buttons, Paul Sarnese ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

Abstract: This research paper proposes the integrated method where machine learning is used for a safe-guard well-being. The objective is to improve overall well-being by creating a framework that ...

Background: Machine learning (ML) has been investigated for its predictive value in knee osteoarthritis (KOA) progression. However, systematic evidence on the effectiveness of ML is still lacking, ...

Abstract: Water treatment plants are critical pieces of infrastructure that create an increased reliance on the functionality of mechanical and chemical components such as pumps, valves, and sensors.