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Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach
  • Learning methods

Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach

admin July 7, 2025 0

Implementation of the VDHNC model is carried out with the aid of the able libraries and frameworks of DL applications...

Read MoreRead more about Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach
Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals
  • Learning methods

Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals

admin October 6, 2024 0

The methodology for AHI estimation in our study is outlined in Fig. 1, comprising an end-to-end pipeline with four key stages:...

Read MoreRead more about Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals

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