Abstract: Neural network-assisted (NNA) Kalman filters provide an effective solution to addressing the filtering issues involving partially unknown system information by incorporating neural networks ...
Abstract: Recent research in test-time machine-learning methods has shown that some machine-learning models, without any prior learning, can improve the results of geophysical inversions. Some ...
Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
Brain training apps are an incredibly popular tool for supporting cognitive function and providing quick mental stimulation, with what many consider to be the original brain training app, Lumosity, ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
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