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  1. 1
    Adaptive In-Sensor Computing for Enhanced Feature Perception and Broadband Image Restoration

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  2. 2
    Robust image descriptor for machine learning based data reduction in serial crystallography

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  3. 3
    An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19

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  4. 4
    Data reduction for X-ray serial crystallography using machine learning

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  5. 5
    An effective detection of COVID-19 using adaptive dual-stage horse herd bidirectional long short-term memory framework

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  6. 6
    Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features

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  7. 7
    Exploring human-nature interactions in national parks with social media photographs and computer vision

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  8. 8
    An integrated feature frame work for automated segmentation of COVID-19 infection from lung CT images

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  9. 9
    Machine Learning and Decision Support in Critical Care
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