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Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach
With the availability of a large volume of health care datasets and progressions in deep learning techniques, systems are now well equipped to predict the future trend of any health problems.
Robustness of Neural Networks to Parameter Quantization
Quantization, a commonly used technique to reduce the memory footprint of a neural network for edge computing, entails reducing the precision of the floating-point representation used for the parameters of the network.
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