Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based framework that provides a more accurate and dynamic approach to landslide ...
Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...
Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of stand-alone photovoltaic systems. The approach uses a bidirectional long short-term ...
Esri, the global leader in geographic information system (GIS) software, has released Spatial Data Science, a new book thatdemonstrates how spatial scientists and practitioners can add big data into ...
Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S ...
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More fuel-efficient aircraft could be developed, new method offers accurate drag predictions
A proposed computational approach could help develop more fuel-efficient aircraft, according to researchers. The method can provide aerodynamic drag data more efficiently during the early stages of ...
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