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Titlebook: Computational Neuroscience; Third Latin American Paulo Rogério de Almeida Ribeiro,Vinícius Rosa Cot Conference proceedings 2022 Springer Na

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21#
發(fā)表于 2025-3-25 04:46:33 | 只看該作者
Physiological Self-regulation Using Biofeedback Training: From Concept to Clinical Applicability main aspects concerning the system arrangement and protocols of stimulation in biofeedback approaches, from its basic principles of operation to its clinical application in different contexts, with emphasis on sensorimotor and cognitive deficits.
22#
發(fā)表于 2025-3-25 09:19:31 | 只看該作者
23#
發(fā)表于 2025-3-25 12:15:21 | 只看該作者
Paulo Rogério de Almeida Ribeiro,Vinícius Rosa Cot
24#
發(fā)表于 2025-3-25 16:09:47 | 只看該作者
25#
發(fā)表于 2025-3-25 21:13:04 | 只看該作者
1865-0929 g December 8–10, 2021..The 13 full papers and 3 short papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: Interdisciplinary applications of Artificial Intelligence (AI) and Machine Learning (ML); AI and ML applied
26#
發(fā)表于 2025-3-26 01:20:18 | 只看該作者
Susan A. George,Regina M. Hansenon. The results indicates that different temporal patterns reflect different timing for the origin of synchronization, but also suggest that the already proven mechanism of NPS, is not on a microcircuit level, but possibly on a macroscopic level of forebrain networks.
27#
發(fā)表于 2025-3-26 04:43:03 | 只看該作者
28#
發(fā)表于 2025-3-26 12:26:40 | 只看該作者
Rudi Cloots,Marcel Ausloos,Gilbert Vacquierludes the creation of a dataset for planting area data, image segmentation with U-net architecture, tests to obtain the best combination of hyperparameters, and the evaluation of network performance. The proposed methodology with the network with a U-net segmentation architecture returned mean IoU results above 80%.
29#
發(fā)表于 2025-3-26 15:54:11 | 只看該作者
Semantic Segmentation of?the?Cultivated Area of?Plantations with?U-Netludes the creation of a dataset for planting area data, image segmentation with U-net architecture, tests to obtain the best combination of hyperparameters, and the evaluation of network performance. The proposed methodology with the network with a U-net segmentation architecture returned mean IoU results above 80%.
30#
發(fā)表于 2025-3-26 20:04:57 | 只看該作者
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