The paper presents a new stiffness modelling method for overconstrained parallel manipulators, which is applied to 3-d.o.f. translational mechanisms. It is based on a multidimensio...
Anatoly Pashkevich, Damien Chablat, Philippe Wenge...
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
We present a novel approach for the automatic generation of model-to-model transformations given a description of the operational semantics of the source language in the form of gr...
In this paper, we propose a novel approach for identity verification based on the directional analysis of velocity-based partitions of an on-line signature. First, interfeature dep...
Muhammad Talal Ibrahim, Matthew J. Kyan, M. Aurang...
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...