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Titlebook: Artificial Intelligence and Soft Computing; 18th International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2019

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發(fā)表于 2025-3-23 13:36:09 | 只看該作者
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發(fā)表于 2025-3-24 00:08:11 | 只看該作者
Conference proceedings 2019oft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019..The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the following five parts: neural networks and their applications;?fuzzy system
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發(fā)表于 2025-3-24 04:44:20 | 只看該作者
Juliane Meyerhoff,Christoph Brühl-of-the-art methods and is efficient particularly in the real conditions where the above mentioned issues are obvious. We further show that the proposed method handles well one training sample issue and is also robust to the image resolution.
16#
發(fā)表于 2025-3-24 08:14:43 | 只看該作者
Fachw?rterbuch International Accountingome dataset which consists of 40 images. In order to prevent over-fitting, we implemented augmentations on the training and the validation set images. The trained model achieved 96.97% dice score. The experimental results showed that, the convolutional neural network can provide satisfying results, especially with highly noisy images.
17#
發(fā)表于 2025-3-24 13:00:11 | 只看該作者
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發(fā)表于 2025-3-24 18:16:13 | 只看該作者
Raw G-Band Chromosome Image Segmentation Using U-Net Based Neural Networkome dataset which consists of 40 images. In order to prevent over-fitting, we implemented augmentations on the training and the validation set images. The trained model achieved 96.97% dice score. The experimental results showed that, the convolutional neural network can provide satisfying results, especially with highly noisy images.
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發(fā)表于 2025-3-24 22:04:45 | 只看該作者
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發(fā)表于 2025-3-24 23:46:41 | 只看該作者
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