We propose an alternative algorithm for solving continuous review inventory model problems for deteriorating items over a ļ¬nite horizon. Our interest focuses on the case of timeā...
Konstantinos E. Parsopoulos, K. Skouri, Michael N....
In a distributed computing system (DCS), we need to allocate a number of modules to diļ¬erent processors for execution. It is desired to maximize the processor synergism in order...
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...