Results 31 to 40 of about 32,193 (219)
Reliability assessment of cutting tool life based on surrogate approximation methods [PDF]
A novel reliability estimation approach to the cutting tools based on advanced approximation methods is proposed. Methods such as the stochastic response surface and surrogate modeling are tested, starting from a few sample points obtained through ...
Kolios, Athanasios +1 more
core +1 more source
Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest management activities.
Junpeng Zhao +5 more
doaj +1 more source
Spatial prediction of species’ distributions from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging [PDF]
A computational framework to map species’ distributions (realized density) using occurrence-only data and environmental predictors is presented and illustrated using a textbook example and two case studies: distribution of root vole (Microtes oeconomus ...
Dilo, Arta +3 more
core +3 more sources
Simulation Optimization Through Regression or Kriging Metamodels [PDF]
This chapter surveys two methods for the optimization of real-world systems that are modelled through simulation. These methods use either linear regression metamodels, or Kriging (Gaussian processes). The metamodel type guides the design of the experiment; this design …fixes the input combinations of the simulation model.
openaire +2 more sources
Contemporary methods used to predict isotopic variation at regional scales have yet to include underlying distributions of the abundance of isotopic substrates.
John L. Berini +6 more
doaj +1 more source
Diagnostics of an Aircraft Engine Pumping Unit Using a Hybrid Approach based-on Surrogate Modeling [PDF]
This document introduces a hybrid approach for fault detection and identification of an aircraft engine pumping unit. It is based on the complementarity between a model-based approach accounting for uncertainties aimed at quantifying the degradation ...
LAMOUREUX, Benjamin +2 more
core +5 more sources
Aboveground biomass is an important parameter for the evaluation of the structure, function, quality and benefit of forest ecosystems. As Tianshan spruce is the most important tree species in the mountains of Xinjiang, the spatial data collection of ...
CAI Chaoyong +6 more
doaj +1 more source
Regression and kriging analysis for grid power factor estimation
The measurement of power factor (PF) in electrical utility grids is a mainstay of load balancing and is also a critical element of transmission and distribution efficiency.
Rajesh Guntaka, Harley R. Myler
doaj +1 more source
Patchwork Kriging for Large-scale Gaussian Process Regression
This paper presents a new approach for Gaussian process (GP) regression for large datasets. The approach involves partitioning the regression input domain into multiple local regions with a different local GP model fitted in each region. Unlike existing local partitioned GP approaches, we introduce a technique for patching together the local GP models ...
Chiwoo Park, Daniel W. Apley
openaire +4 more sources
Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging
Sensible heat flux (H) plays an important role in characterizations of land surface water and heat balance. There are various types of H measurement methods that depend on observation scale, from local-area-scale eddy covariance (EC) to regional-scale ...
Maogui Hu +6 more
doaj +1 more source

