Results 101 to 110 of about 6,413,007 (222)
Abstract Geometric morphometrics (GM) is widely used to study phenotypic variation in ecological and evolutionary research, but the throughput of manual landmark digitization limits how large morphometric datasets can practically become, especially in field studies that would benefit from rapid on‐site feedback.
Cristobal Bragagnolo +3 more
wiley +1 more source
Enhanced Noise Suppression in Partial Discharge Signals via SVD and VMD with Wavelet Thresholding
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 +6 more
doaj +1 more source
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 +5 more
wiley +1 more source
Singular Value Decomposition Guided Image Compression [PDF]
This paper presents singular value decomposition (SVD), a major technique to matrix decomposition. SVD functions as the fundamental scientific instrument of numerous applications including principal component analysis (PCA), matrix approximation, Eigen ...
Alam, Md.Ashraful +3 more
core +1 more source
Adaptive Sampling for BRDF Acquisition
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 +3 more
wiley +1 more source
Low Tensor Rank Constrained Image Inpainting Using a Novel Arrangement Scheme
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 +4 more
doaj +1 more source
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
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
SVD Algorithm in the Application of the MIMO System Model Order Reduction
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
Modulation-mode assignment for SVD-assisted and iteratively detected downlink multiuser MIMO transmission schemes [PDF]
In this contribution we jointly optimize the number of multiple-input multiple-output (MIMO) layers and the number of bits per symbol within an iteratively-detected multiuser MIMO downlink (DL) transmission scheme under the constraint of a given fixed ...
Ahrens, Andreas, Benavente Peces, César
core
TT4D: Tensor‐Train‐based 4D Time‐Dependent Volume Rendering
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 +2 more
wiley +1 more source

