Abstract: The range-spread target detection problem typically faces uncertainty in the number and locations of target scattering centers (TSCs), which severely limits the performance of traditional ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
In recent years, the field of radar and remote sensing has experienced significant advancements due to the evolution of ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...
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