The weighted ENO scheme based on the modified smoothness indicator
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rafael Borges +3 more
semanticscholar +4 more sources
Early learning curve changes in objective performance indicators during robotic cholecystectomy [PDF]
Learning curves for experienced laparoscopic surgeons transitioning to the robotic platform are still unknown. With the new availability of objective performance indicators (OPIs), which provide information on surgical behavior, we identified when a ...
Derrick Liu +7 more
doaj +2 more sources
Deep smoothness WENO scheme for two-dimensional hyperbolic conservation laws: A deep learning approach for learning smoothness indicators [PDF]
In this paper, we introduce an improved version of the fifth-order weighted essentially non-oscillatory (WENO) shock-capturing scheme by incorporating deep learning techniques.
Tatiana Kossaczk'a +2 more
semanticscholar +1 more source
Running quality assessment of a passenger car produced in the Republic of Uzbekistan [PDF]
The article discusses a topical issue regarding the replenishment of the passenger car fleet with promising and comfortable passenger cars. To determine the quality assessment of the passenger carriage, a check was carried out for compliance with the ...
Zairova Dilfuza +4 more
doaj +1 more source
The missing censoring indicator model and the smoothed bootstrap [PDF]
For right censored data with missing censoring indicators, sub-density function kernel estimators play a significant role for estimating a survival function. Data-driven bandwidths for computing these kernel estimators are proposed. The bandwidths are obtained as minimizers of certain estimates of the mean integrated squared error (MISE).
Sundarraman Subramanian, Derek Bean
openaire +4 more sources
Hybrid Hermite TENO scheme with a simple smoothness indicator for compressible flow simulations
The Hermite targeted essentially non-oscillatory (HTENO) scheme offers an excellent small-scale resolution and better shock-capturing capability in solving compressible flow problems.
Indra Wibisono, Yanuar, Gunawan
doaj +1 more source
A New ϵ-Adaptive Algorithm for Improving Weighted Compact Nonlinear Scheme with Applications
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a new ϵ-adaptive algorithm based on local smoothness indicators is proposed.
Ziquan Huang +3 more
doaj +1 more source
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics
Information retrieval (IR) systems traditionally aim to maximize metrics built on rankings, such as precision or NDCG. However, the non-differentiability of the ranking operation prevents direct optimization of such metrics in state-of-the-art neural IR models, which rely entirely on the ability to compute meaningful gradients.
Thibaut Thonet +4 more
openaire +3 more sources
Testing multiple inequality hypotheses: A smoothed indicator approach [PDF]
This paper proposes a class of origin-smooth approximators of indicators underlying the sum-of-negative-part statistic for testing multiple inequalities. The need for simulation or bootstrap to obtain test critical values is thereby obviated. A simple procedure is enabled using fixed critical values. The test is shown to have correct asymptotic size in
Le-Yu Chen, Jerzy Szroeter
openaire +5 more sources
Detecting fatigue during training sessions would help riders and trainers to optimize their training. It has been shown that fatigue could affect movement patterns.
Benoît Pasquiet +5 more
doaj +1 more source

