Missing data is one of the most common issues encountered in data cleaning process
especially when dealing with medical dataset. A real collected dataset is prone to be …

This paper proposes an estimation method of missing data of showcase using Artificial
Neural Networks (ANN). When various abnormal conditions such as frost formation in the …

Background: Predicting the value of gene expression in a given condition is a challenging
topic in computational systems biology. Only a limited number of studies in this area have …

Drug repositioning allows expedited discovery of new applications for existing compounds,
but re-screening vast compound libraries is often prohibitively expensive.“Connectivity …

Motivation Drug re-positioning allows expedited discovery of new applications for existing
compounds, but re-screening vast compound libraries is often prohibitively expensive.“ …

This paper proposes differential evolutionary particle swarm optimization (DEEPSO) based
artificial neural network (ANN) training for estimation of missing data of refrigerated …