Results 101 to 110 of about 5,834,158 (292)

Kernel Function-Based Ambiguity Function and Its Application on DOA Estimation in Impulsive Noise. [PDF]

Sensors (Basel), 2022
Dou Y, Li S.
europepmc   +1 more source

A kernel for automorphic L-functions

Journal of Number Theory, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Grayscale Photomasks Enable Noncontact Optical Patterning of Hydroxypropyl Cellulose Gels for Dynamic Art

Advanced Functional Materials, EarlyView.
Mask‐encoded UV exposure translates digital color information into pixel‐resolved structural‐color patterns in hydroxypropyl cellulose gels. Gaussian‐process‐guided calibration links UV processing conditions, wavelength, and mask opacity, enabling parallel fabrication of multicolor images in a single 10 s exposure.
Mengting Ye, Yunyi Zhu, Sai Sabareesh KS, Md Ashiqur Rahman Alif, Yichen Wan, Ruobing Bai, Narges Pourjafarian, Stefanie Mueller, Hongli Zhu   +8 more
wiley   +1 more source

Application of the Gaussian Process Regression Method Based on a Combined Kernel Function in Engine Performance Prediction. [PDF]

ACS Omega, 2022
Shi X, Jiang D, Qian W, Liang Y.
europepmc   +1 more source

Transformation kernel density estimation of actuarial loss functions [PDF]

A transformation kernel density estimator that is suitable for heavy-tailed distributions is discussed. Using a truncated Beta transformation, the choice of the bandwidth parameter becomes straightforward.
Montserrat Guillen (Universitat de Barcelona), Jens Perch Nielsen (City University London), Catalina Bolance (Universitat de Barcelona)   +2 more
core  

Using mixed kernel support vector machine to improve the predictive accuracy of genome selection

Journal of Integrative Agriculture
The advantages of genome selection (GS) in animal and plant breeding are self-evident. Traditional parametric models have disadvantage in better fit the increasingly large sequencing data and capture complex effects accurately.
Jinbu Wang, Wencheng Zong, Liangyu Shi, Mianyan Li, Jia Li, Deming Ren, Fuping Zhao, Lixian Wang, Ligang Wang   +8 more
doaj   +1 more source

Time-Frequency Represetation of Radar Signals Using Doppler-Lag Block Searching Wigner-Ville Distribution

Advances in Electrical and Electronic Engineering, 2018
Radar signals are time-varying signals where the signal parameters change over time. For these signals, Quadratic Time-Frequency Distribution (QTFD) offers advantages over classical spectrum estimation in terms of frequency and time resolution but it ...
Muhammad Noor Muhammad Hamdi, Ahmad Zuri Sha'ameri   +1 more
doaj   +1 more source

XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion

Advanced Functional Materials, EarlyView.
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei, Pascal Bertsch, Juliette Lafosse, Sander C. G. Leeuwenburgh, Mani Diba   +4 more
wiley   +1 more source

In-Wheel Motor Fault Diagnosis Using Affinity Propagation Minimum-Distance Discriminant Projection and Weibull-Kernel-Function-Based SVDD. [PDF]

Sensors (Basel), 2023
Liu B, Xue H, Ding D, Sun N, Chen P.
europepmc   +1 more source

A simple nonparametric estimator of a monotone regression function [PDF]

In this paper a new method for monotone estimation of a regression function is proposed. The estimator is obtained by the combination of a density and a regression estimate and is appealing to users of conventional smoothing methods as kernel estimators,
Dette, Holger, Neumeyer, Natalie, Pilz, Kay F.   +2 more
core