Concept
Margin of error
Related publications (190)
Real-Time Musculoskeletal Kinematics and Dynamics Analysis Using Marker- and IMU-Based Solutions in Rehabilitation
This study aims to explore the possibility of estimating a multitude of kinematic and dynamic quantities using subject-specific musculoskeletal models in real-time. The framework was designed to operate with marker-based and inertial measurement units enab ...
2021Euclid : Effects of sample covariance on the number counts of galaxy clusters
Georges Meylan, Yi Wang, Richard Massey
Aims. We investigate the contribution of shot-noise and sample variance to uncertainties in the cosmological parameter constraints inferred from cluster number counts, in the context of the Euclid survey. Methods. By analysing 1000 Euclid-like light cones, ...
EDP SCIENCES S A2021MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
Alexandre Massoud Alahi, Sven Kreiss, Taylor Ferdinand Mordan, Lorenzo Bertoni
Monocular and stereo visions are cost-effective solutions for 3D human localization in the context of self-driving cars or social robots. However, they are usually developed independently and have their respective strengths and limitations. We propose a no ...
2021Deep Gaussian denoiser epistemic uncertainty and decoupled dual-attention fusion
Sabine Süsstrunk, Majed El Helou, Xiaoyu Lin, Xiaoqi Ma
Following the performance breakthrough of denoising networks, improvements have come chiefly through novel architecture designs and increased depth. While novel denoising networks were designed for real images coming from different distributions, or for sp ...
2021Macro Modeling Technique for Integrally-Attached Timber Plates: Sensitivity Analysis
Yves Weinand, Aryan Rezaei Rad, Henry V. Burton
Using the Integral Mechanical Attachment (IMA) technique, a new macroscopic model has recently been introduced to simulate the structural behavior of segmented timber plates. The macro model is based on employing only beam and spring elements, which aims t ...
2021Discovery of slow variables in a class of multiscale stochastic systems via neural networks
Jan Sickmann Hesthaven, Przemyslaw Zielinski
Finding a reduction of complex, high-dimensional dynamics to its essential, low-dimensional "heart" remains a challenging yet necessary prerequisite for designing efficient numerical approaches. Machine learning methods have the potential to provide a gene ...
2021Comment on "Circadian rhythms in the absence of the clock gene Bmal1"
Ray et al. (Reports, 14 February 2020, p. 800) recently claimed temperature-compensated, free-running mRNA oscillations in Bmal1(-/-) liver slices and skin fibroblasts. We reanalyzed these data and found far fewer reproducible mRNA oscillations in this gen ...
2021A hierarchical approach to the a posteriori error estimation of isogeometric Kirchhoff plates and Kirchhoff–Love shells
Annalisa Buffa, Pablo Antolin Sanchez, Luca Coradello
This work focuses on the development of a posteriori error estimates for fourth-order, elliptic, partial differential equations. In particular, we propose a novel algorithm to steer an adaptive simulation in the context of Kirchhoff plates and Kirchhoff–Lo ...
2020Adaptive isogeometric analysis on two-dimensional trimmed domains based on a hierarchical approach
Annalisa Buffa, Pablo Antolin Sanchez, Rafael Vazquez Hernandez, Luca Coradello
The focus of this work is on the development of an error-driven isogeometric framework, capable of automatically performing an adaptive simulation in the context of second- and fourth-order, elliptic partial differential equations defined on two-dimensiona ...
2020Minimum-Error Classes for Matching Parts
This paper examines the binning of two types of parts with random characteristics, so that a componentwise monotonic evaluation criterion exhibits a minimum deviation to a given target value over all possible realizations. The optimal matching classes are ...
2020