The world of finance produces vast amounts of data, yet many types – such as text, audio, and image data – have historically been underutilized in financial modeling. Traditionally, stock prices are ...
TCT 265: GDF-15 as an early marker for prognosis in patients with cardiogenic shock – Experience from the HAnnover Cardiac Unloading REgistry (HACURE) Receive the the latest news, research, and ...
We present the ENV-FIBA macro-micro model framework that can be used to analyze the climate-macro-financial consequences of climate scenarios and related policy counterfactuals. The model consists of ...
New model harnesses machine learning and 15Five’s vast dataset spanning 6 years, 30 million responses and thousands of organizations SAN FRANCISCO--(BUSINESS WIRE)--15Five, the strategic performance ...
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 ...
“Predictive modeling uses regression analysis to project forward and try to predict future health events,” says Dr. Orr. When using predictive modeling, “the quality of data and the size of the data ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
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New framework for predicting TAIs in hydrogen combustion
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving real-time monitoring and combustion safety.
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