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Titlebook: Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems; 7th IFIP TC 12 Inter Eunika Mercier-La

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41#
發(fā)表于 2025-3-28 18:18:12 | 只看該作者
42#
發(fā)表于 2025-3-28 21:45:15 | 只看該作者
The European Union and the Kurds in Iraq,s of research conducted on a completely automated system for the accurate identification and categorization of coral reefs found in the ocean. The solution that is being proposed here is an ensemble of two different Convolutional Neural Network (CNN) models that include fully linked layers that can
43#
發(fā)表于 2025-3-28 22:56:03 | 只看該作者
44#
發(fā)表于 2025-3-29 03:10:36 | 只看該作者
45#
發(fā)表于 2025-3-29 08:38:02 | 只看該作者
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發(fā)表于 2025-3-29 13:36:47 | 只看該作者
Detection and Estimation of Diameter of Retinal Vessels vessel. The performance of these three algorithms is compared against the available ground truth average diameter for both CLRIS and VDIS. It was found that the estimated diameter is closer to the available ground truth using morphological-based and center line-based, respectively. However, the est
47#
發(fā)表于 2025-3-29 16:33:45 | 只看該作者
48#
發(fā)表于 2025-3-29 23:41:03 | 只看該作者
False Positive Reduction in Mammographic Mass Detectionmployed in this work, resulting in the classification accuracy of 96%, 80%, 76% and 88% and false positive rates (FPR) of 0, 0.26, 0.25 and 0.12 for each density-specific mass detection models respectively.
49#
發(fā)表于 2025-3-29 23:56:07 | 只看該作者
50#
發(fā)表于 2025-3-30 05:34:01 | 只看該作者
Collaborative CNN with Multiple Tuning for Automated Coral Reef Classifications of research conducted on a completely automated system for the accurate identification and categorization of coral reefs found in the ocean. The solution that is being proposed here is an ensemble of two different Convolutional Neural Network (CNN) models that include fully linked layers that can
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