On a novel approach for optimizing composite materials panel using surrogate models [PDF]
This paper describes an optimization procedure to design thermoplastic composite panels under axial compressive load conditions. Minimum weight is the goal. The panel design is subject to buckling constraints.
Akcay-Perdahcioglu, D. +3 more
core +1 more source
GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications
Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes +6 more
wiley +1 more source
We present a transient electromagnetic dataset from northwestern Denmark acquired with the novel sTEMprofiler system, mapping buried Quaternary valleys. The open dataset, including raw data and resistivity models, enables benchmarking of inversion methods and integration into geological and hydrological studies. ABSTRACT Transient electromagnetic (TEM)
Line M. Madsen +3 more
wiley +1 more source
Estimasi Kandungan Hasil Tambang Menggunakan Ordinary Indicator Kriging [PDF]
Kriging is a geostatistical analysis of the data used to estimate the value that represents a no sample point based sample point in the surrounding by considering the spatial correlation in the data.
Awali, A. A. (Aldila) +2 more
core
Abstract Continuous physical domains are important for scientific investigations of dynamical processes in the atmosphere. However, missing data—arising from operational constraints and adverse environmental conditions—pose significant challenges to accurate analysis and modeling.
Jiahui Hu, Wenjun Dong, Alan Z. Liu
wiley +1 more source
Geostatistical interpretation of paleoceanographic data over large ocean basins - Reality and fiction [PDF]
A promising approach to reconstruct oceanographic scenarios of past time slices is to drive numerical ocean circulation models with sea surface temperatures, salinities, and ice distributions derived from sediment core data.
Hervada-Sala, C. +3 more
core
Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion
Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi +4 more
wiley +1 more source
Combining Artificial Neural Network and Ordinary Kriging to Predict Wetland Soil Organic Carbon Concentration in China's Liao River Basin. [PDF]
Kang Y, Li X, Mao D, Wang Z, Liang M.
europepmc +1 more source
Variogram investigation of covariance shape within longitudinal data with possible use of a krigeage technique as an interpolation tool: Sheep growth data as an example [PDF]
peer-reviewedMost quantitative traits considered in livestock evolve over time and several continuous functions have been proposed to model this change.
Chalh, A., El Gazzah, M.
core
Coarse‐to‐Fine Spatial Modeling: A Scalable, Machine‐Learning‐Compatible Framework
ABSTRACT This study proposes coarse‐to‐fine spatial modeling (CFSM) as a scalable and machine learning‐compatible alternative to conventional spatial process models. Unlike conventional covariance‐based spatial models, CFSM represents spatial processes using a multiscale ensemble of local models.
Daisuke Murakami +5 more
wiley +1 more source

