Wavefunctions of complex lanthanide atoms NdI, PmI and SmI, obtained via multi-configuration Dirac-Fock method, are analyzed for density of states in terms of partial densities, strength functions (Fk(E)), number of principal components (ξ2(E)) and occupancies (〈nα〉 ) of single particle orbits using embedded Gaussian orthogonal ensemble of one plus two-body random matrix ensembles [EGOE(1+2)]. ...

Parking pricing has been suggested as a 'second-best' approach to managing road space. However, its effectiveness will depend upon the responsiveness of parking behaviour and modal choice to the price of parking. This paper examines the sensitivity of parking behaviour and modal choice to the price of on-street parking in the city of Dublin, Ireland. This analysis utilises contingent valuation ...

In this paper, a method for computing the dynamics of geared system excited by its static transmission error is proposed. The based on iterative spectral (ISM) and harmonic balance (HBM). It shown that dynamic (DTE) can be obtained in frequency domain solving linear equations, which turn allows computation modal physical coordinates system.

Conditional density estimation. The idea of conditional density estimation is to construct a density estimate f̂(y|x) for a dependent variable y, conditional on a vector of variables x. This can be seen as a generalization of regression, where instead of estimating the expected value E(y|x) alone, we instead model the full density. This is especially important for multi-modal densities, where th...

Our article presents an audio-visual based multi-modal emotion classification system. Considering the fact of deep learning approaches to facial analysis have recently demonstrated high performance, in our work, we use convolutional neural networks (CNNs) for emotion recognition in video, relying on temporal averaging and pooling operations reminiscent of widely used approaches for the spatial ...

I present an expressive temporal logic intended for applications in KR and ontology construction. The formalism combines a 1st-order logic of time with a modal treatment of historical necessity, which is used to model describe alternative possible histories. An axiomatisation is given and proved complete with respect to the intended semantics.

Surrogate-assisted evolutionary algorithms have been widely utilized in science and engineering fields, while rare theoretical results were reported on how surrogates influence the performances of evolutionary algorithms (EAs). This paper focuses on theoretical analysis of a (1+1) surrogate-assisted evolutionary algorithm ((1+1)SAEA), which consists of one individual and pre-evaluates a newly g...