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Titlebook: Cognitive Computation and Systems; First International Fuchun Sun,Jianmin Li,Zhongyi Chu Conference proceedings 2023 The Editor(s) (if app

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41#
發(fā)表于 2025-3-28 16:23:56 | 只看該作者
Elvira Rodriguez-Rios,Benjamin Garcia-Paez the Angle. On the other hand, we add label smoothing to the loss function, and use Ranger optimizer in training to realize various tasks of point clouds. Experiments show that PointNetX has better performance in part segmentation as well as object classification than PointNet.
42#
發(fā)表于 2025-3-28 19:35:58 | 只看該作者
43#
發(fā)表于 2025-3-28 23:58:43 | 只看該作者
44#
發(fā)表于 2025-3-29 05:19:51 | 只看該作者
Transfer Learning Based Seizure Detection: A Reviewtilizes knowledge of related domains, such as data characteristics, model parameters, etc., to assist learning in new domain. This paper details three main methods to practical application of transfer learning in seizure detection. The future research directions in the field of seizure detection based on transfer learning are also pointed out.
45#
發(fā)表于 2025-3-29 08:40:23 | 只看該作者
Conference proceedings 2023Beijing, China, in October 2022..The 31 papers were thoroughly reviewed and selected from the 75 submissions. The papers are organized in topical sections on ?computer vision; decision making and cognitive computation; robot and autonomous vehicle..
46#
發(fā)表于 2025-3-29 14:44:10 | 只看該作者
47#
發(fā)表于 2025-3-29 17:46:52 | 只看該作者
48#
發(fā)表于 2025-3-29 22:02:56 | 只看該作者
Ultrasets and the Paradoxes of Set Theoryrcement learning. Therefore, this paper analyzes the application of self-play and deep reinforcement learning methods applied in computer games, summarizes its research status in the field of complete information games and incomplete information games and pointed out its existing problems and possible development directions.
49#
發(fā)表于 2025-3-30 03:28:23 | 只看該作者
50#
發(fā)表于 2025-3-30 07:50:44 | 只看該作者
Enhancement for Low-Contrast Images with Dynamical Saturating Nonlinearity and Adaptive Stochastic Rge enhancement method is tested on low-contrast images in the LOL dataset. By comparing the new model and some other image enhancement algorithms, it demonstrates that the results not only have good visual perception, but also obtain more excellent evaluation indicators value.
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