MF-DAT: a stock trend prediction of the double-graph attention network based on multisource information fusion
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Systems"
DOI: 10.1007/s00530-024-01333-9
Abstract: Stock forecasting research, which aims to predict the future price movement of stocks, has been the focus of investors and scholars. This is important for practical applications related to human-centric computing and information sciences. Previous… read more here.
Keywords: graph attention; based multisource; information; relationship ... See more keywords
VL-MFL: UAV Visual Localization Based on Multisource Image Feature Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3383509
Abstract: Obtaining the Earth-fixed coordinates is a fundamental requirement for long-distance unmanned aerial vehicle (UAV) flight. Global navigation satellite systems (GNSSs) are the most common location model, but their signals are susceptible to interference from obstacles… read more here.
Keywords: based multisource; multisource image; image feature; visual localization ... See more keywords
Residual Spatiotemporal Convolutional Neural Network Based on Multisource Fusion Data for Approaching Precipitation Forecasting
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DOI: 10.3390/atmos15060628
Abstract: Approaching precipitation forecast refers to the prediction of precipitation within a short time scale, which is usually regarded as a spatiotemporal sequence prediction problem based on radar echo maps. However, due to its reliance on… read more here.
Keywords: based multisource; spatiotemporal convolutional; residual spatiotemporal; precipitation ... See more keywords