Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images

Table 3

Algorithm steps of the ECNN approach.

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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 about regulation of 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 Omicron disease infection image dataset

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

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

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