Results 121 to 130 of about 2,481,877 (286)

Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates

Remote Sensing
Accurate high-resolution soil moisture maps are crucial for a better understanding of hydrological processes and energy cycles. Mapping strategies such as downscaling and interpolation have been developed to obtain high-resolution soil moisture maps from
Mo Zhang, Yong Ge, Jianghao Wang
doaj   +1 more source

VPint: value propagation-based spatial interpolation. [PDF]

Data Min Knowl Discov, 2022
Arp L, Baratchi M, Hoos H.
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Spatial interpolation of regional PM_2.5 concentrations in China during COVID-19 incorporating multivariate data. [PDF]

Atmos Pollut Res, 2023
Wei P, Xie S, Huang L, Liu L, Cui L, Tang Y, Zhang Y, Meng C, Zhang L.   +8 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Interpolation and optimal monitoring in space and time [PDF]

, 2002
This thesis shows how statistics can be used for both analysing data and for determining the (optimal) design for collecting data in environmental research.
Boer, E.P.J.
core  

Hourly Water Level Forecasting in an Hydroelectric Basin Using Spatial Interpolation and Artificial Intelligence. [PDF]

Sensors (Basel), 2022
Tucci M.
europepmc   +1 more source

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

Advanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao, Keldy Mason, Mert Gülçür, Rachel Paddock‐Lamb, Prince Alvin Fofanah, Zachariah A. Page, Michael Cullinan   +6 more
wiley   +1 more source

The Month Precipitation in Jinghe River Basin Considering Data-transformation

Shuitu baochi yanjiu, 2008
The skewness,square-root-transformation,cuberoot-transformation and logarithm transformation of the monthly precipitation which was from the stations throughout Jinghe river basin from 1951 to 2005 was analyzed fistly.Then,the spatial interpolation of ...
LIU Peng1, ZHANG Wan-chang2
doaj  

A data integration framework for spatial interpolation of temperature observations using climate model data. [PDF]

PeerJ, 2023
Economou T, Lazoglou G, Tzyrkalli A, Constantinidou K, Lelieveld J.   +4 more
europepmc   +1 more source