Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

A complete process from digital twins (DTs) to virtual simulation to virtual and real symbiosis for lifeline infrastructures using structural effects as the connecting elements. The theoretical and ...

In organizational leadership, staying ahead requires more than just a glance into historical data; it demands a predictive prowess that anticipates future trends and allows leaders to test hypotheses ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

Following internal testing and proof-of-concept using live data, CQG has confirmed that the system has been successful in a live trading environment. “Following extensive machine learning (ML) ...

Boris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. In an era where the unexpected is becoming the norm, the ...

ROCK ISLAND ARSENAL, Ill. — The Joint Munitions Command earned first place in the predictive and prescriptive analytics category during the 2025 Army Materiel Command Data Summit. The AMC Data Summit ...

You have /5 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...