Results 101 to 110 of about 6,152,737 (292)

A new 3D phase unwrapping method by region partitioning and local polynomial modeling in abdominal quantitative susceptibility mapping. [PDF]

Front Neurosci, 2023
Cheng J, Song M, Xu Z, Zheng Q, Zhu L, Chen W, Feng Y, Bao J, Cheng J.   +8 more
europepmc   +1 more source

Phase Diagrams and Piezoelectric Properties of Wurtzite Al1−x−yScxGdyN Heterostructural Alloys

Advanced Science, EarlyView.
This study demonstrates ferroelectricity and piezoelectric properties improvement of quaternary wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films, guided by density functional theory calculations. Wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films have a high optical bandgap, enhanced piezoelectric ...
Julia L. Martin, Cheng‐Wei Lee, Nate S.P. Bernstein, Thi Nguyen, Ande Bryan, Eli Cooper, John S. Mangum, Sage R. Bauers, Andriy Zakutayev, Keisuke Yazawa, Prashun Gorai, Rebecca W. Smaha   +11 more
wiley   +1 more source

Local fitting with a power basis

Revstat Statistical Journal, 2004
Local polynomial modelling can be seen as a local fit of the data against a polynomial basis. In this paper we extend this method to the power basis, i.e. a basis which consists of the powers of an arbitrary function.
Jochen Einbeck
doaj   +1 more source

On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. [PDF]

Control Conf ECC Eur, 2022
Trimbach E, Nguyen EDH, Uribe CA.
europepmc   +1 more source

A LOCAL View of the Polynomial Hierarchy

Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing
77 pages, 18 figures (5 repeated); v4: Expanded discussion of alternation as a measure of locality, with additional expressibility and inexpressibility ...
openaire   +4 more sources

Local Polynomial Kernel Forecasts and Management of Price Risks using Futures Markets [PDF]

This study contributes to understanding price risk management through hedging strategies in a forecasting context. A relatively new forecasting method, nonparametric local polynomial kernel (LPK), is used and applied to the hog sector.
Kim, MinKyoung, Garcia, Philip, Leuthold, Raymond M.   +2 more
core  

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Comparative study of interpolation methods for mapping soil pH in the apple orchards of Murree, Pakistan

Soil & Environment, 2017
Soil pH is considered as a core indicator for nutrient bioavailability. Prevailing alkaline pH due to calcareousness in Pakistan is considered as one of the limiting factor for nutrient availability to plants.
Humair Ahmed, Muhammad Tariq Siddique, Muhammad Iqbal, Fayyaz Hussain   +3 more
doaj   +1 more source

New 3D phase-unwrapping method based on voxel clustering and local polynomial modeling: application to quantitative susceptibility mapping. [PDF]

Quant Imaging Med Surg, 2023
Cheng J, Zheng Q, Xu M, Xu Z, Zhu L, Liu L, Han S, Chen W, Feng Y, Cheng J.   +9 more
europepmc   +1 more source

Local Polynomial Regression and Simulation–Extrapolation

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003
SummaryThe paper introduces a new local polynomial estimator and develops supporting asymptotic theory for nonparametric regression in the presence of covariate measurement error. We address the measurement error with Cook and Stefanski's simulation–extrapolation (SIMEX) algorithm.
Staudenmayer, J, Ruppert, D
openaire   +2 more sources