Results 111 to 120 of about 113,545 (266)
Post-processing Kriging with External Drift Estimates [PDF]
Geologia USP. Série Científica, 2009 Kriging with an external drift has been used for estimating a poorly sampled variable based on an exhaustively sampledsecondary variable. Even considering the information coming from secondary data, the estimates present smaller variancethan the sample ...
Jorge Kazuo Yamamoto
doaj
Journal of Philanthropy, Volume 31, Issue 2, May 2026.ABSTRACT Addressing ongoing calls for a more robust understanding of philanthropic foundations, this paper uses metaphor analysis to map and analyse analogical metaphors on foundations—metaphors that make a direct comparison between philanthropic foundations and another domain—put forward in academic and non‐academic discourse.
Tobias Jung
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.Abstract Soil inorganic carbon (SIC) is critical for carbon sequestration, infiltration, and climate modeling, yet quantifying its precise spatial distribution at continental scales remains challengings. We introduce a high‐resolution (30 m) CONUS SIC map using machine learning (ML) models trained on the ISRIC World Soil Information Service (WoSIS ...
Zahra Ghahremani +4 more
wiley +1 more source
Influence of parameter estimation uncertainty in Kriging: Part 1 - Theoretical Development [PDF]
Hydrology and Earth System Sciences, 2001 This paper deals with a theoretical approach to assessing the effects of parameter estimation uncertainty both on Kriging estimates and on their estimated error variance.
E. Todini, E. Todini
doaj
A Guide to Bayesian Optimization in Bioprocess Engineering
Biotechnology and Bioengineering, Volume 123, Issue 4, Page 805-830, April 2026.ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
ISPRS International Journal of Geo-InformationIntegrating spatio-temporal kriging with machine learning improves estimation accuracy by addressing complex spatial and temporal variations in spatio-temporal phenomena.
Min Jeong, Hyeongmo Koo
doaj +1 more source
, 2017 Optimal design under uncertainty has gained much attention in the past ten years due to the ever increasing need for manufacturers to build robust systems at the lowest cost.
Bourinet, J. -M. +2 more
core
The Canadian Journal of Chemical Engineering, Volume 104, Issue 4, Page 1769-1795, April 2026.Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma +4 more
wiley +1 more source
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations [PDF]
Kriging (Gaussian process, spatial correlation) metamodels approximate the Input/Output (I/O) functions implied by the underlying simulation models; such metamodels serve sensitivity analysis and optimization, especially for computationally expensive ...
Beers, W.C.M. van, Kleijnen, Jack P.C.
core +1 more source
Ecology and Evolution, Volume 16, Issue 4, April 2026.We evaluated how landscape features, including fire, influence genetic connectivity for three small mammal species in northern Australian savannas. Using resistance surface modelling across two islands with contrasting disturbance regimes, we found that fire, rainfall, and topography affected gene flow in species‐ and scale‐specific ways.
Alexander R. Carey +7 more
wiley +1 more source