NIL 发表于 2025-3-28 15:11:34
graph neural networks (GNNs). However, traditional GNN models for static graph data analysis have limitations in their ability to extract evolutionary patterns from dynamic graphs, which are more commonly observed in real-world data. Additionally, existing dynamic GNN models tend to prioritize low-f我悲伤 发表于 2025-3-28 19:54:21
http://reply.papertrans.cn/87/8633/863284/863284_42.pngpeptic-ulcer 发表于 2025-3-29 01:52:22
Radu Sionovement originates, represents a relevant topic for movement analysis. Indeed, its automated detection is important to contribute to the automated analysis of full-body emotions and of non-verbal social signals, and has potential applications, among others, in dance and music teaching, cognitive andindecipherable 发表于 2025-3-29 03:58:59
http://reply.papertrans.cn/87/8633/863284/863284_44.pngJogging 发表于 2025-3-29 07:34:33
http://reply.papertrans.cn/87/8633/863284/863284_45.pngYourself 发表于 2025-3-29 15:24:39
ands and use spatial gestures via on-body projection to control AR content and further settings. The focus of this work lies on the simultaneous interaction with sand and the user’s own body, and it’s contribution to audio-visual installations..Our prototype system was tested with potential users instrain 发表于 2025-3-29 18:50:15
Sushil Jajodia,Ting Yued to the new presentation method, subjects’ performance during parallel presentations was on par with performance during standard presentations. A crucial moment within these presentations is whenever the user needs to switch his attentional focus from one device to another. We compared two differe摇摆 发表于 2025-3-29 22:54:57
S. De Capitani di Vimercati,S. Foresti,S. Jajodia,P. Samaratied to the new presentation method, subjects’ performance during parallel presentations was on par with performance during standard presentations. A crucial moment within these presentations is whenever the user needs to switch his attentional focus from one device to another. We compared two differe