Background: There has been a lot of interest in recent years focusing on the modeling and simulation of Gene Regulatory Networks (GRNs). However, the evolutionary mechanisms that ...
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
This paper presents a pseudo-functional BIST scheme that attempts to minimize the over-testing problem of logic BIST for delay and crosstalk-induced failures. The over-testing pro...
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Many of the existing techniques for impact set computation in change propagation and regression testing are approximate for the sake of efficiency. A way to improve precision is ...