COVID-19 Data Analytics Using Extended Convolutional Technique

Table 2

ECNN proposed model steps.

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Step 1: Import required libraries

Step 2: Preprocessing of the dataset

Step 3: Combined CNN with extended neurons

Step 4: Perform 10-folded cross-validation with 2 classes

Step 5: Import Keras deep learning library with all supported libraries

Step 6: Reset all parameters of ECNN

Step 7: Enhance the ECNN part and regulation of the loss calculation function

Step 8: Enhancement of yield part of 10-folded with 2 classes

Step 9: Accumulate the ECNN parameters

Step 10: Adjusting the ECNN in the preparation of model

Step 11: Load the COVID-19 disease infection image dataset

Step 12: Predicting the infection severity by classifying the dataset into 2 classes

Step 13: Outcome of the trained model and stop the model

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