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Titlebook: Advances in Machine Intelligence and Computer Science Applications; Proceedings of the I Noureddine Aboutabit,Mohamed Lazaar,Imad Hafidi Co

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樓主: CYNIC
11#
發(fā)表于 2025-3-23 11:52:14 | 只看該作者
12#
發(fā)表于 2025-3-23 15:42:48 | 只看該作者
Classification of myelodysplastic syndromes,ommon datasets with varied sizes and levels of corruption. The proposed method offers an alternative to unsupervised denoising and achieves results that are comparable to the state-of-the-art in generative models noise removal.
13#
發(fā)表于 2025-3-23 20:35:46 | 只看該作者
14#
發(fā)表于 2025-3-23 23:14:57 | 只看該作者
https://doi.org/10.1007/978-1-4613-9320-7formance, we concentrated on hyperparameter validation. The system’s accuracy has exceeded 98% after testing and comparing various metrics, which is comparative to other works utilizing the similar dataset.
15#
發(fā)表于 2025-3-24 03:51:46 | 只看該作者
Conference proceedings 2023he 1st international conference on Machine Intelligence and Computer Science Applications (ICMICSA’2022). It is the result of a reviewed, evaluated, and presented work in ICMICSA’2022 held on November 28–29, 2022, in Khouribga, Morocco..
16#
發(fā)表于 2025-3-24 08:44:36 | 只看該作者
17#
發(fā)表于 2025-3-24 11:30:55 | 只看該作者
18#
發(fā)表于 2025-3-24 15:46:46 | 只看該作者
19#
發(fā)表于 2025-3-24 21:01:50 | 只看該作者
Familial Exudative Vitreoretinopathytion classification show high performances that outperform the state-of-art techniques. Indeed, the best result was provided by CNN model with three-convolutional-polling pairs layers that achieved an average script identification accuracy of 97.67% and ran in a sufficiently fast time of 2?ms per frame during the test phase.
20#
發(fā)表于 2025-3-25 03:00:09 | 只看該作者
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