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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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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.
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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.
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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..
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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.
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