Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy by Moayyad Shawaqfah (17280637)

“…The model sensitivity was analyzed using the root mean square error (RMSE), the mean absolute percentage error and the regression coefficient index R2, which yielded highly accurate values of the predicted correlation for the infected and dead cases of 0.99 for the dates considered. The verified and validated growth model of COVID-19 for these countries showed the effects of the measures taken by the government and medical sectors to alleviate the pandemic effect and the effort to decrease the spread of the virus in order to reduce the death rate. …”

Machine Learning and Carbonate Reservoirs : A Production Data Perspective on Permeability Modelling by Mohamad Faysal Baalbaki (21547373)

“…One key finding in this thesis is understanding the effect of well interference on the ANN performance. It was noted that in cases where permeability increases from one well to another, the production data showed a decrease. …”