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Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model
منشور في 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. …"
احصل على النص الكامل
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Associative memory neural networks for error correction of linear block codes
منشور في 1995احصل على النص الكامل
masterThesis -
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Ghost-NeRV: Efficient Neural Video Representation via Ghost Convolutions
منشور في 2026الموضوعات: "…Neural video representation…"
احصل على النص الكامل
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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
منشور في 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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Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation
منشور في 2026الموضوعات: "…Neural video representation…"
احصل على النص الكامل
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CNN and HEVC Video Coding Features for Static Video Summarization
منشور في 2022الموضوعات: "…Convolution neural network…"
احصل على النص الكامل
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Static Video Summarization Using Video Coding Features with Frame-level Temporal Sub-Sampling and Deep Learning
منشور في 2023الموضوعات: احصل على النص الكامل
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Code-Mixed Street Address Recognition and Accent Adaptation for Voice-Activated Navigation Services
منشور في 2024الموضوعات: -
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Detection of helicopters using neural nets
منشور في 2001"…Artificial neural networks (ANNs), in combination with parametric spectral representation techniques, are applied for the detection of helicopter sound. …"
احصل على النص الكامل
احصل على النص الكامل
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Modelling fatigue uncertainty by means of nonconstant variance neural networks
منشور في 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
منشور في 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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Automatic Video Summarization Using HEVC and CNN Features
منشور في 2022الموضوعات: احصل على النص الكامل
doctoralThesis