Huda M. Alshanbari

A comparative study of machine learning models in QSPR analysis of antihypertensive drug compounds

Hypertension is one of the most prevalent ailments globally, and it predisposes individuals to heart conditions. To develop improved drugs that reduce hypertension, one should understand the molecular properties that influence the effect of a drug. In this study, we explore the q...

Long-memory functional time series modeling for electricity spot price forecasting using fractionally integrated functional autoregression

Electricity spot prices are found to be highly long-range dependent, with hyperbolically decaying instead of geometrically decaying autocorrelation functions that challenge traditional functional time series models of forecasting. In existing hybrid forecasting frameworks, the st...