Results 81 to 90 of about 13,343 (226)

Reducing acquisition time and radiation damage: data‐driven subsampling for spectro‐microscopy

Journal of Synchrotron Radiation, EarlyView.
Data‐driven sparse acquisition in spectro‐microscopy reduces acquisition time and radiation dose while preserving information.Spectro‐microscopy is an experimental technique which can be used to observe spatial variations in chemical state and changes in chemical state over time or under experimental conditions.
Maike Meier, Lorenzo Lazzarino, Boris Shustin, Hussam Al Daas, Paul Quinn   +4 more
wiley   +1 more source

A 4D geometric morphometrics workflow to quantify complex biological motion

Methods in Ecology and Evolution, EarlyView.
Abstract Quantifying biological motion is fundamentally tied to quantifying the biological structures that produce that motion. Yet, this dependence makes it essential to decouple motion from static morphology to enable general, comparable analyses across individuals and conditions. In this work, we present a methodological pipeline to study biological
Marta Gómez‐Recio, Markus Bastir, Gael Deboeck, Antonella LoMauro, Andrea Aliverti, Véronique Feipel, Barbara Fischer, Philipp Mitteroecker, Benoit Beyer   +8 more
wiley   +1 more source

A Progress Report on Numerical Solutions of Least Squares Adjustment in GNU Project Gama

Acta Polytechnica, 2005
GNU project Gama for adjustment of geodetic networks is presented. Numerical solution of Least Squares Adjustment in the project is based on Singular Value Decomposition (SVD) and General Orthogonalization Algorithm (GSO). Both algorithms enable solution
A. Čepek, J. Pytel
doaj  

Neural Networks and Multivariate Analysis Based on Geochemical Data to Determine Stone Provenance From Ancient Calabrian Quarries (Southern Italy)

Archaeometry, EarlyView.
ABSTRACT This study shows an innovative approach to determine the origin of some Calabrian rocks quarried used in ancient times. Twenty‐five quarries, distributed in all the Calabrian provinces (Southern Italy), were studied and sampled. Ten samples were taken from each quarry, for a total of 250 samples.
Domenico Miriello, Stefano Columbu, Raffaella De Luca, Marco Lezzerini, Mirco Taranto, Fabrizio Antonelli   +5 more
wiley   +1 more source

Enhanced Noise Suppression in Partial Discharge Signals via SVD and VMD with Wavelet Thresholding

Modelling and Simulation in Engineering
Partial discharge evaluation is a principal method for assessing insulation conditions in power transformers. Traditional singular value decomposition (SVD) approaches, however, face issues like high residual noise and loss of signal details in white ...
Hailong Wang, Yongliang Yao, Guangdong Zhang, Jidong Pan, Longlong Gao, Hai Jin, Chuang Wang   +6 more
doaj   +1 more source

Adaptive Sampling for BRDF Acquisition

Computer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi, Saghi Hajisharif, Jonas Unger, Ehsan Miandji   +3 more
wiley   +1 more source

Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics

Computer Graphics Forum, EarlyView.
Abstract Linear reduced‐order modeling (ROM) is widely used for efficient simulation of deformation dynamics, but its accuracy is often limited by the fixed linearization of the reduced mapping. We propose a new adaptive strategy for linear ROM that allows the reduced mapping to vary dynamically in response to the evolving deformation state ...
Y. Tao, M. Chiaramonte, P. Fernandez
wiley   +1 more source

Low Tensor Rank Constrained Image Inpainting Using a Novel Arrangement Scheme

Applied Sciences
Employing low tensor rank decomposition in image inpainting has attracted increasing attention. This study exploited novel tensor arrangement schemes to transform an image (a low-order tensor) to a higher-order tensor without changing the total number of
Shuli Ma, Youchen Fan, Shengliang Fang, Weichao Yang, Li Li   +4 more
doaj   +1 more source

TT4D: Tensor‐Train‐based 4D Time‐Dependent Volume Rendering

Computer Graphics Forum, EarlyView.
Abstract Visualizing large‐scale, time‐varying volumetric data using direct volume rendering remains a significant challenge in scientific visualization, particularly as data sizes and resolutions continue to increase. One promising direction for addressing this challenge is the use of tensor decompositions, which have proven to be a useful tool for ...
Clara Hartmann, Rafael Ballester‐Ripoll, Renato Pajarola   +2 more
wiley   +1 more source

SVD Algorithm in the Application of the MIMO System Model Order Reduction

Journal of Harbin University of Science and Technology, 2017
For linear time invariant high-order system calculation and analysis model is difficult to directly，so we need to study on reduction of the model According to the basic theory of model order reduction Lyapunov equation model order solution to linear time
LU Fang-ming, ZHOU Lin
doaj   +1 more source