hazard
发表于 2025-3-25 06:36:13
https://doi.org/10.1007/978-3-662-39645-2r tasks, employing the Wilcoxon, Kruskal-Wallis, and Mann-Whitney statistic tests. Results showed a reduced dispersion of power spectral density during imagery. In addition, there were no statistically significant differences among imagery and actual movement execution.
nettle
发表于 2025-3-25 07:29:03
Application of the Epsilon-Greedy Algorithm for Frequency Optimization of Electrical Neurostimulatiut exceeding energy usage for the stimulation. Five different simulations were carried out in order to evaluate the contribution of the energy consumption in determining the minimum frequency. The results show the efficacy of the proposed algorithm to search the minimum pulse frequency necessary to suppress epileptic seizures.
精致
发表于 2025-3-25 12:27:46
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Coterminous
发表于 2025-3-25 18:55:25
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猜忌
发表于 2025-3-25 22:47:58
978-3-031-63847-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
缓解
发表于 2025-3-26 00:29:45
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morale
发表于 2025-3-26 06:07:29
Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/242257.jpg
扩音器
发表于 2025-3-26 12:10:20
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高原
发表于 2025-3-26 16:21:59
https://doi.org/10.1007/978-3-662-39645-2ral network, initially proposed by Ronneberger et al. in 2015 for biomedical image segmentation, is described. Its performance is evaluated in the segmentation of human brain tumors utilizing authentic MRI data from the BraTS 2023 challenge. The specifics of the data augmentation algorithm and its i
evasive
发表于 2025-3-26 18:18:10
https://doi.org/10.1007/978-3-662-39645-2nomics, physiological computing, medical diagnostics or sport training. So far, the most commonly used machine learning algorithms to do so are linear classifiers such as Support Vector Machines (SVMs), often resulting in modest classification accuracies. However, Riemannian Geometry-based Classifie