In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...
—This paper shows that optical emissions from an operating chip have a good correlation with power traces and can therefore be used to estimate the contribution of different area...
Although requirements analysis is acknowledged as a critical success factor of information system development for organizations, problems related to the requirements stage are freq...
Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the ...
Christoforos Christoforou, Paul Sajda, Lucas C. Pa...