Centro Universitario FEI: Recent submissions
Itens para a visualização no momento 1301-1320 of 2182
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SOI Stacked Transistors Tolerance to Single-Event Effects
(2019)© 2001-2011 IEEE.This paper addresses a quantitative study of the reliability improvement of the stacked transistor structure. The susceptibility of integrated circuits to single-event effects caused by interaction with ... -
Different stress techniques and their efficiency on triple-gate SOI n-MOSFETs
(2015)© 2014 Elsevier Ltd. All rights reserved.Three techniques to implement mechanical stress in n-channel Multiple Gate MOSFETs (MuGFETs) are investigated through 3D simulations and transconductance measurements. They are: ... -
Multivariate statistical differences of MRI samples of the human brain
(2007)Multivariate statistical discrimination methods are suitable not only for classification but also for characterization of differences between a reference group of patterns and the population under investigation. In the ... -
Impact of designer knowledge in the interactive evolutionary optimisation of analogue CMOS ICs by using iMTGSPICE
(2019)© The Institution of Engineering and Technology 2019.This Letter describes an innovative interactive evolutionary computational tool to optimise robust analogue complementary metal-oxide-semiconductor (CMOS) integrated ... -
A priori-driven multivariate statistical approach to reduce dimensionality of MEG signals
(2013)A magnetoencephalography (MEG) multivariate data exploratory analysis is described and implemented that combines the variance criterion used in principal component analysis with some prior knowledge about the sensory ... -
Comparing Ranking Methods for Tensor Components in Multilinear and Concurrent Subspace Analysis with Applications in Face Images
(2015)© 2015 World Scientific Publishing Company.In the area of multi-dimensional image databases modeling, the multilinear principal component analysis (MPCA) and concurrent subspace analysis (CSA) approaches were independently ... -
Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression
(2015)© 2015 Published by Elsevier Ireland Ltd.Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major ...