Results 51 to 60 of about 2,909,867 (244)
Polynomial-Chaos-based Kriging
Computer simulation has become the standard tool in many engineering fields for designing and optimizing systems, as well as for assessing their reliability.
Schoebi, R., Sudret, B., Wiart, J.
core +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
The forest area in China’s plateaus and mountainous regions accounts for as much as 43% of the country’s total forest area. Accurately estimating the aboveground biomass (AGB) in these plateau and mountain forests is significant for global carbon sink ...
Yining Luo +8 more
semanticscholar +1 more source
Regression and Classification by Zonal Kriging
Technical ...
Serra, Jean +2 more
openaire +2 more sources
Rapid Design and Fabrication of Body Conformable Surfaces with Kirigami Cutting and Machine Learning
By integrating the principles of kirigami cutting and data‐driven modeling, this study aims to develop a personalized, rapid, and low‐cost design and fabrication pipeline for creating body‐conformable surfaces around the knee joint. This pipeline presents a balanced trade‐off between conformability performance and cost for personalizing wearables, thus
Jyotshna Bali +3 more
wiley +1 more source
To investigate the problem of secondary salinization in agricultural irrigated areas with shallow buried groundwater, regression Kriging (RK) and geographically weighted regression Kriging (GWRK) methods were applied using soil salinity in Da’an, western
S. Nie, J. Bian, Yanchun Zhou
semanticscholar +1 more source
Analyzing geological profiles is of great importance for various applications such as natural resource management, environmental assessment, and mining engineering projects.
Qile Ding +7 more
doaj +1 more source
Soil thickness has a significant influence on many of earth surface processes, and it can be mapped using various methods. Digital soil mapping can be used to estimate the spatial distribution of soil thickness and can estimate the uncertainty of the ...
Muhammad Fauzan Ramadhan +3 more
doaj +1 more source
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley +1 more source
Regional Precipitation Model Based on Geographically and Temporally Weighted Regression Kriging
High-resolution precipitation field has been widely used in hydrological and meteorological modeling. This paper establishes the spatial and temporal distribution model of precipitation in Hubei Province from 2006 through 2014, based on the data of 75 ...
Wei Zhang +5 more
semanticscholar +1 more source

