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Titlebook: Evolution in Computational Intelligence; Proceedings of the 1 Vikrant Bhateja,Xin-She Yang,Carlos M. Travieso-Go Conference proceedings 202

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31#
發(fā)表于 2025-3-27 00:44:38 | 只看該作者
Torsti Loikkanen,Kirsi Hyytinenct the classification of ASD. Results demonstrated that VGG16 achieves high classification accuracy of 95.8% and outperforms the rest of the transfer learning models proposed in this paper and has an average improvement of 4.96% in terms of accuracy.
32#
發(fā)表于 2025-3-27 03:31:28 | 只看該作者
33#
發(fā)表于 2025-3-27 07:01:22 | 只看該作者
,Classification of?Autism Spectrum Disorder Based on?Brain Image Data Using Deep Neural Networks,ct the classification of ASD. Results demonstrated that VGG16 achieves high classification accuracy of 95.8% and outperforms the rest of the transfer learning models proposed in this paper and has an average improvement of 4.96% in terms of accuracy.
34#
發(fā)表于 2025-3-27 10:21:05 | 只看該作者
35#
發(fā)表于 2025-3-27 16:48:51 | 只看該作者
36#
發(fā)表于 2025-3-27 19:10:09 | 只看該作者
37#
發(fā)表于 2025-3-28 00:28:56 | 只看該作者
Environmental Kuznets Curve Hypothesis,to identify and process images and videos, and can be used in various sectors such as targeted advertising in malls and automated identification in gated communities through face and vehicle number plate recognition.
38#
發(fā)表于 2025-3-28 03:47:28 | 只看該作者
39#
發(fā)表于 2025-3-28 08:56:26 | 只看該作者
,Multi-attention TransUNet—A Transformer Approach for Image Description Generation,s. The experimental results have been compared to existing published works demonstrating that the approach used in this paper has achieved state-of-the-art (SOTA) performance in terms of multi-model architecture for the given task.
40#
發(fā)表于 2025-3-28 11:56:45 | 只看該作者
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