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Real Time Automated Counterfeit Integrated Circuit Detection using X-ray Microscopy
(OSA Publishing, 2015-05)
Determining the authenticity of integrated circuits is paramount to preventing counterfeit and malicious hardware from being used in critical military, healthcare, aerospace, consumer, and industry applications. Existing ...
Acoustic anomalous reflectors based on diffraction grating engineering
(American Physical Society, 2018)
We present an efficient method for the design of anomalous reflectors for acoustic waves. The approach is
based on the fact that the anomalous reflector is actually a diffraction grating in which the amplitude of all ...
Spatio-temporal analysis with short- and long-memory dependence: a state-space approach
(Springer Berlin Heidelberg, 2018)
This paper deals with the estimation and prediction problems of spatio-temporal processes by using state-space methodology. The spatio-temporal process is represented through an infinite moving average decomposition. This ...
Mark variograms for spatio-temporal point processes
(Elsevier, 2017)
A spatio-temporal point process can be transformed into two marked point processes by taking the times or locations as marks. For these marked point processes mark variograms can be defined, opening a new way for the ...
Multivariate functional random fields: prediction and optimal sampling
(Springer Verlag, 2017)
This paper develops spatial prediction of a functional variable at unsampled sites, using functional covariates, that is, we present a functional cokriging method. We show that through the representation of each function ...
Understanding the nesting spatial behaviour of gorillas in the Kagwene Sanctuary, Cameroon
(Springer-Verlag, 2012-08)
We use spatial point pattern methods to analyse gorilla nest site data, and to enhance our understanding of the nesting behaviour of the Gorilla gorilla diehli in the Kagwene Sanctuary, Cameroon. Data were split into ...
Filter-Type Variable Selection Based on Information Measures for Regression Tasks
(MDPI AG, 2012)
This paper presents a supervised variable selection method applied to regression problems. This method selects the variables applying a hierarchical clustering strategy based on information measures. The proposed technique ...
Frequency resolved wavefront retrieval and dynamics of diffractive focused ultrashort pulses
(Optical Society of America, 2012-08)
In this work we demonstrate the ability of the spatiotemporal characterization technique STARFISH to retrieve the wavelength dependent wavefront of focused ultrashort laser pulses. The high resolution achievable with this ...
Hierarchical clustering of spatially correlated functional data
(John Wiley & Sons, 2012-11)
Classification problems of functional data arise naturally in many applications. Several
approaches have been considered for solving the problem of funding groups based on functional data. In this paper we are interested ...
On a class of non-stationary, compactly supported spatial covariance functions
(Springer-Verlag, 2013-02)
Globally supported covariance functions are generally associated with dense covariance matrices, meaning severe numerical problems in solution feasibility. These problems can be alleviated by considering methods yielding ...