performance evaluation of universities is an important issue between researchers. classic data envelopment analysis (dea) models with deterministic data have been used by many authors to measure efficiency of universities in different countries. however, dea with stochastic data are, rarely used to measure efficiency of universities. in this paper, input oriented model in stochastic data envelo...

When solving inverse problems in geophysical imaging, deep generative models (DGMs) may be used to enforce the solution display highly structured spatial patterns which are supported by independent information (e.g. geological setting) of subsurface. In such case, inversion formulated a latent space where low-dimensional parameterization is defined and Markov chain Monte Carlo or gradient-based...

The paper is concerned with several kinds of stochastic frontier models whose likelihood function is not available in closed form. First, with output-oriented stochastic frontier models whose one-sided errors have a distribution other than the standard ones (exponential or half-normal). The gamma and beta distributions are leading examples. Second, with input-oriented stochastic frontier models...

Abstract Global climate change-induced stresses on coastal water resources include use restrictions, saline intrusions, and permanently modifying or damaging regional resources. Groundwater in regions is often the only freshwater resource available, so an in-depth understanding of aquifer, aquifer’s response to change, essential for decision-makers. In this study, we focus aquifer Roussillon (s...

Oculo-auriculovertebral dysplasia (Goldenhar) is a congenital syndrome. Its phenotype differs from craniofacial anomalies to cardiac, vertebral or central nervous system defects. This syndrome is rare and its etiology is not apparent yet. Pericentric inversion of chromosome 9 is one of the most common structural balanced chromosomal aberrations with its incidences 15% to 25%. Herein we present ...

shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. however, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. in order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (pso) algorithm. the ...

In this paper we formulate the Radon transform as a wnvolution integral over the Euclidean motion group (SE(2)) and provideaminimummean square error(MMSE) stochastic deconvolution method for the Radon transform inversion. Proposed approach provides a fundamentally new formulation that can model nonstationary signal and noise fields. Key components of our development are the Fourier transform ov...