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Following this framework, the manuscript proposes an approach based on a Finite Impulse Response digital filter, that allows for an automatic selection of the feedforward path structure and for the optimisation of its parameters, thus overcoming the limitations inherent in the continuous time approaches recently presented in the literature.
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We present a meshfree method for the curvature estimation of membrane networks based on the local maximum entropy approach recently presented in [1].
Although not based on the same approach, the recently presented nonlinear guiding center (NLGC) theory is recovered as a special case.
8 9 A novel approach was recently presented, which is based on the administration of deuterated steroids followed by the identification of the respective deuterated urinary metabolites using hydrogen isotope ratio mass spectrometry.
Such an approach was recently presented for the analysis of DNA molecules in situ [ 13], combining Padlock Probes for DNA detection at single nucleotide resolution, with target primed rolling circle DNA synthesis, resulting in an amplification powerful enough to allow single molecule detection.
The first results of this new approach have been recently presented in [2, 3] and [4].
Using a network meta-analysis of twelve antidepressants and controlled perturbations in the real and constructed consistent data, we discuss the consistency assessment by the independent path decomposition in contrast to an approach using a recently presented graphical tool, the net heat plot.
In this section, we present an overview of IP-WSN approaches that have been recently presented.
The first approach results from a recently presented analysis based on the Rayleigh Ritz method and is used to circumvent the difficulties in obtaining the natural frequencies and mode shapes of a plate with an attached, distributed mass.
It is based on the thermodynamic approach to microplane formulation recently presented by the authors, which defines the macroscopic free energy of the material as an integral of a microplane free-energy potential over all possible orientations.
The proposed model is a novel approach that improves upon the recently presented Modified PCNN (MPCNN) by introducing directional autowave control and accelerated firing of neurons based on a dynamic thresholding technique.
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