Author: Sally M. ELGhamrawy; Abou Ellah Hassanien
Title: Diagnosis and Prediction Model for COVID19 Patients Response to Treatment based on Convolutional Neural Networks and Whale Optimization Algorithm Using CT Images Document date: 2020_4_21
ID: jir00627_13
Snippet: (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04. 16.20063990 doi: medRxiv preprint Where is linearly decreased from 2 to 0 over the course of iterations in exploration and exploitation phases, and is a random vector generated with uniform distribution in the interval of [0,1]. In the exploitation phase, WOA algorithm updates the position of whale during optimization by choosing between either.....
Document: (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04. 16.20063990 doi: medRxiv preprint Where is linearly decreased from 2 to 0 over the course of iterations in exploration and exploitation phases, and is a random vector generated with uniform distribution in the interval of [0,1]. In the exploitation phase, WOA algorithm updates the position of whale during optimization by choosing between either the shrinking encircling mechanism or the spiral updating position model.
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