Results 101 to 110 of about 71,044 (233)
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
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly +3 more
wiley +1 more source
Abstract Background and objective The development of Type 1 diabetes (T1D) is shaped by genetic predisposition and epigenetic regulation. Human leukocyte antigen (HLA) risk alleles are major genetic determinants, but the epigenetic landscape in relation to disease onset remains unclear.
Shamila D. Alipoor +6 more
wiley +1 more source
ABSTRACT Lucid dreaming, defined as the experience of becoming aware of dreaming while dreaming, offers a unique window into a state of consciousness characterised by a blending of the sensory vividness of REM sleep with the self‐awareness of wakefulness. While past functional imaging has shed light on the neural activity supporting lucid dreaming, the
Nicola De Pisapia +4 more
wiley +1 more source
A Progress Report on Numerical Solutions of Least Squares Adjustment in GNU Project Gama
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
Tensor Changepoint Detection and Eigenbootstrap
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta +2 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
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
Spherulite in the modern aragonitic travertine stromatolite has a calcite core with exopolymers
ABSTRACT Spherulites are spherical to ellipsoidal particles formed by various crystalline substances and can be abiotically synthesised in the laboratory. Among various spherulite types, spherulites composed of calcium carbonate are also found in various natural environments, but their abiotic or biotic origins are still controversial.
Fumito Shiraishi +4 more
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

