Novel assessment of numerical forecasting model relative humidity with satellite probabilistic estimates [PDF]
Atmospheric Chemistry and Physics, 2022 A novel method of comparison between an atmospheric model and satellite probabilistic estimates of relative humidity (RH) in the tropical atmosphere is presented.
C. Radice +4 more
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Williams Expansion Terms and their Importance for Accurate Stress Field Description in Specimens with a Crack [PDF]
Transactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2013 The paper deals with an analysis of the stress and displacement fields in various cracked specimens (loaded in mode I as well as in mode II). The main goal is to determine an accurate approximation of the near-crack-tip fields which can be subsequently
Lucie MALÍKOVÁ, Václav VESELÝ
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MethodsX, 2023 In this work we present SaFiDe, a deterministic method to detect eye movements (saccades and fixations) from eye-trace data. We developed this method for human and nonhuman primate data from video- and coil-recorded eye traces and further applied the ...
Samuel Madariaga +7 more
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Stochastic Local Community Detection in Networks
Algorithms, 2023 We propose a stochastic agglomerative algorithm to detect the local community of some given seed vertex/vertices in a network. Instead of giving a deterministic binary local community in the output, our method assigns every vertex a value that is the ...
Hadi Papei, Yang Li
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Analysis of accuracy of Williams series approximation of stress field in cracked body – influence of area of interest around crack-tip on multi-parameter regression performance [PDF]
Fracture and Structural Integrity, 2017 A study on the accuracy of an approximation of the stress field in a cracked body is presented. Crack-tip stress tensor is expressed using the linear elastic fracture mechanics (LEFM) theory in this work, more precisely via its multi-parameter ...
J. Sobek, P. Frantík, V. Veselý
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A Fully First-Order Method for Stochastic Bilevel Optimization [PDF]
International Conference on Machine Learning, 2023 We consider stochastic unconstrained bilevel optimization problems when only the first-order gradient oracles are available. While numerous optimization methods have been proposed for tackling bilevel problems, existing methods either tend to require ...
Jeongyeol Kwon +3 more
semanticscholar +1 more source
Results in Optics, 2023 We propose a novel approach to address the problem of measurement accuracy in analyzing the distance between the peak positions of interference envelopes in multi-pulse train (MPT) interferometry.
Dong Wei, Taketo Miura
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Comparison Between Deterministic and Stochastic Interpolation Methods for Predicting Ground Water Level in Baghdad [PDF]
Engineering and Technology Journal, 2018 Surface interpolation techniques are usually used to create continuous data (i.e. raster data) from distributed set of point data over a geographical region.
Muammar Ali +2 more
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Chaotic van der Pol Oscillator Control Algorithm Comparison
Dynamics, 2023 The damped van der Pol oscillator is a chaotic non-linear system. Small perturbations in initial conditions may result in wildly different trajectories.
Lauren Ribordy, Timothy Sands
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Stochastic embedding DFT: Theory and application to p-nitroaniline in water. [PDF]
, 2019 Over this past decade, we combined the idea of stochastic resolution of identity with a variety of electronic structure methods. In our stochastic Kohn-Sham density functional theory (DFT) method, the density is an average over multiple stochastic ...
Baer, Roi +4 more
core +4 more sources