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  1. 1
    Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better?

    Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

    Published 2024
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  2. 2
    Pool Free Rapid Segmentation Network (PFRS-Net) to detect human blastocyst compartments for embryonic assessment

    Pool Free Rapid Segmentation Network (PFRS-Net) to detect human blastocyst compartments for embryonic assessment by Abida Hussain (22049752)

    Published 2025
    “…The RCB module is specifically designed to capture valuable deep features with computational efficiency. …”
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  3. 3
    Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model

    Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model by Dabeeruddin Syed (16864260)

    Published 2021
    “…The proposed model is designed to capture the temporal dependencies of energy consumption on dependent features and to be effective in terms of computational complexity, training time, and forecasting accuracy. …”
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  4. 4
    DNA Base-Calling

    DNA Base-Calling by Mohammed, Omniyah Gul

    Published 2010
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