Category: 7. Maths

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  • Mutual information maximizing quantum generative adversarial networks

    Mutual information maximizing quantum generative adversarial networks

    We conducted two numerical experiments to compare InfoQGAN with conventional QGAN, as well as their classical counterparts, InfoGAN and GAN. To ensure a fair comparison, the generators in InfoQGAN and QGAN share the same architecture and number…

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  • Acute myeloid leukemia classification using ReLViT and detection with YOLO enhanced by adversarial networks on bone marrow images

    Acute myeloid leukemia classification using ReLViT and detection with YOLO enhanced by adversarial networks on bone marrow images

    This section describes the overall framework along with its various components and the dataset.

    The proposed ReLViT-GY-AML framework for AML-BMI detection

    This study introduces a new framework based on a ReLViT technique for the classification of…

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  • Fidelity assessment of synthetic images with multi-criteria combination under adverse weather conditions

    Fidelity assessment of synthetic images with multi-criteria combination under adverse weather conditions

    Several clues need to be considered when quantifying the fidelity of images due to the complexity of real scenes. Therefore, we propose a set of scores including the models and the selected Haralick metrics is proposed, that provides a more…

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