The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
Abstract: Electroencephalography (EEG)-based seizure prediction has garnered significant attention in epilepsy management, with deep learning methods enhancing prediction performance. However, ...
The idea that attention spans can "break" has been spreading like wildfire across TikTok, podcasts and think pieces—framing focus as something fragile, like glass. But experts say the reality is more ...
Barbara Jacquelyn Sahakian receives funding from the Wellcome Trust. Her research work is conducted within the NIHR Cambridge Biomedical Research Centre (BRC) Mental Health and Neurodegeneration ...
ABSTRACT: Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction ...
Introduction: Predicting the relationship between diseases and microbes can significantly enhance disease diagnosis and treatment, while providing crucial scientific support for public health, ...
The economics writer Kyla Scanlon on how attention has come to shape politics, our economy, Gen Z and more. This is an edited transcript of an episode of “The Ezra Klein Show.” You can listen to the ...
Add a description, image, and links to the graph-attention-autoencoder topic page so that developers can more easily learn about it.
ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...
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