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    Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model by Al-Bashabsheh, Emran

    Published 2023
    “…ICD-10 is system physicians and other healthcare providers use to classify and code all diagnoses and symptom records in conjunction with hospital care. …”
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    Ghost-NeRV: Efficient Neural Video Representation via Ghost Convolutions by Shanableh, Tamer

    Published 2026
    Subjects: “…Neural video representation…”
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    article
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    PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

    Published 2022
    “…</p><h3>Methods</h3><p dir="ltr">The architecture of PredictPTB employs recurrent neural networks (RNNs) to model the longitudinal patient’s EHR visits and exploits a single code-level attention mechanism to improve the predictive performance, while providing temporal code-level and visit-level explanations for the prediction results. …”
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    CNN and HEVC Video Coding Features for Static Video Summarization by Issa, Obada

    Published 2022
    Subjects: “…Convolution neural network…”
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    article
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    Detection of helicopters using neural nets by Akhtar, S.

    Published 2001
    “…Artificial neural networks (ANNs), in combination with parametric spectral representation techniques, are applied for the detection of helicopter sound. …”
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    article
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    Modelling fatigue uncertainty by means of nonconstant variance neural networks by Mohamad Shadi Nashed (21363557)

    Published 2022
    “…Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for modelling fatigue applications. …”
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    Untrained Neural Network Priors for Inverse Imaging Problems: A Survey by Adnan Qayyum (16875936)

    Published 2022
    “…Recently, a new paradigm of training deep models using a single image, named untrained neural network prior (UNNP) has been proposed to solve a variety of inverse tasks, e.g., restoration and inpainting. …”
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