Results 71 to 80 of about 254,988 (165)

Fast-Acquiring High-Quality Prony Series Parameters of Asphalt Concrete through Viscoelastic Continuous Spectral Models. [PDF]

Materials (Basel), 2022
Zhang Y, Sun Y.
europepmc   +1 more source

Detecting Confounding in Multivariate Linear Models via Spectral Analysis

Journal of Causal Inference, 2018
We study a model where one target variable Y$Y$ is correlated with a vector X:=(X1,…,Xd)$\textbf{X}:=(X_1,\dots,X_d)$ of predictor variables being potential causes of Y$Y$.
Janzing Dominik, Schölkopf Bernhard
doaj   +1 more source

Spectral Transform for the Ising Model

Annales Henri Poincaré
We prove a correspondence between Ising models in a torus and the algebro-geometric data of a Harnack curve with a certain symmetry and a point in the real part of its Prym variety, extending the correspondence between dimer models and Harnack curves and their Jacobians due to Kenyon and Okounkov.
openaire   +2 more sources

Enhancing beam structural damage detection using spectral moment values and spectral moment cumulative function models

Journal of Low Frequency Noise, Vibration and Active Control
Evaluation and identification of structural damage play a crucial role in ensuring the safety and reliability of structures. This study explores the application of spectral moment value analysis as a robust tool to assess and detect structural damage ...
Thanh Q Nguyen, Thuy T Nguyen, Phuoc T Nguyen   +2 more
doaj   +1 more source

Estimation of Spectral Solar Irradiance Toward Deriving Spectral Mismatch Factor Across Diverse Photovoltaic Technologies by Using Aerosol Optical Properties

Remote Sensing
This study presents a machine-learning framework for predicting spectral solar irradiance from 300 to 1100 nm using the random forest and neural network models.
Chang Ki Kim, Hyun-Goo Kim, Myeongchan Oh, Boyoung Kim, Chang-Yeol Yun   +4 more
doaj   +1 more source

Spectrally regularised LVMs: A spectral regularisation framework for latent variable models designed for single-channel applications

SoftwareX
Latent variable models (LVMs) are commonly used to capture the underlying dependencies, patterns, and hidden structures in observed data. Source duplication is a by-product of the data Hankelisation pre-processing step common to single-channel LVM ...
Ryan Balshaw, P. Stephan Heyns, Daniel N. Wilke, Stephan Schmidt   +3 more
doaj   +1 more source

Complex Spectral Signal Processing Model Based on Hypernetwork Architecture and Super-Resolution Reconstruction

Modelling and Simulation in Engineering
In response to the problem that traditional spectral signal processing models are affected by noise and difficult to fully capture spectral information, resulting in insufficient spectral reconstruction accuracy, an innovative spectral signal processing ...
Ziying Zhang, Yi Zhang
doaj   +1 more source

Development of Discriminant Models for Wooden Breast Based on Visible and Near Infrared Hyperspectral Information and Their Fused Data

Shipin gongye ke-ji
Wooden breast barriers the development of broiler industry, and traditional detection methods are time-consuming and inefficient. To investigate the feasibility of the hyperspectral imaging (HSI) technique for the detection of wooden breasts, four ...
Na ZHANG, Zhen LI, Weijie LAN, Kang TU, Jie WU, Zhaoshan WANG, Gan ZHAO, Leiqing PAN   +7 more
doaj   +1 more source

Enhancing 3D Models with Spectral Imaging for Surface Reflectivity

Sensors
The increasing demand for accurate and detailed 3D modeling in fields such as cultural heritage preservation, industrial inspection, and scientific research necessitates advanced techniques to enhance model quality. This paper addresses this necessity by
Adam Stech, Patrik Kamencay, Robert Hudec   +2 more
doaj   +1 more source

Spectral curves with complex multiplication in Hermitian matrix models

Nuclear Physics B
We show that elliptic curves with complex multiplication (CM) naturally emerge in the spectral geometry of Hermitian one-matrix models in the two-cut phase.
Ali Nassar
doaj   +1 more source