Abstract: EEG signals have been reported to be informative and reliable for emotion recognition in recent years. However, the inter-subject variability of emotion-related EEG signals still poses a ...
Abstract: The topic of light detection and ranging (LiDAR)–inertial odometry (LIO) is raising the interest of researchers as one of the key areas for robotic navigation, among which extended Kalman ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...
Russian scientists are developing cyborg pigeon drones that could be used for covert surveillance or warfare. Under a project ...
Jeff Canavan as senior policy adviser and Jamie Woodside as associate attorney. Invariant has promoted Ken Barbic to chair ...
(GLOBE NEWSWIRE) -- (Nasdaq: INKT) today announced that new translational data supporting the role of invariant natural killer T (iNKT) cells in idiopathic pulmonary fibrosis (IPF) were presented at ...
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