The COSTA system pioneers cascade spatio-temporal attention plus memory-distilled iterative cross-modal alignment, cutting ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Terahertz (THz) radiation, which occupies the frequency band between microwaves and infrared light, is essential in many next ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...
Computer-Controlled Sub-Aperture Polishing enables high-precision surface correction using small tools. Material removal is controlled by dwell time modulation along toolpaths, but the discontinuous ...
Abstract: Current deepfake detection methods primarily focus on exploring inter-frame inconsistencies using convolutional networks, neglecting the investigation of long-range spatiotemporal ...
The majority of parents with more than one child will likely tell you that their kids are pretty different, and that they saw these differences emerge relatively early. This individuality begins to ...
Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...
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