A Probability Co-Kriging Model to Account for Reporting Bias and Recognize Areas at High Risk for Zebra Mussels and Eurasian Watermilfoil Invasions in Minnesota [PDF]
Frontiers in Veterinary Science, 2018 Zebra mussels (ZMs) (Dreissena polymorpha) and Eurasian watermilfoil (EWM) (Myriophyllum spicatum) are aggressive aquatic invasive species posing a conservation burden on Minnesota.
Kaushi S. T. Kanankege +7 more
doaj +2 more sources
Kriging, co-kriging and space mapping for microwave circuit modeling [PDF]
2011 41st European Microwave Conference, 2011 Space mapping (SM) is a popular technique that allows creating computationally cheap and reasonably accurate surrogates of EM-simulated microwave structures (so-called fine models) using underlying coarse models, typically equivalent circuits.
Koziel, Slawomir +2 more
core +3 more sources
Weed Mapping with Co-Kriging Using Soil Properties [PDF]
Precision Agriculture, 1999 Our aim is to build reliable weed maps to control weeds in patches. Weed sampling is time consuming but there are some shortcuts. If an intensively sampled variable (e.g.
Heisel, T +5 more
core +2 more sources
A generative deep neural network as an alternative to co-kriging
Applied Computing and GeosciencesIn geosciences, kriging is leading spatial interpolation, and co-kriging is the most commonly used method for accomplishing spatial interpolation of a target variable by incorporating information from a secondary variable.
Herbert Rakotonirina +3 more
doaj +3 more sources
Steady-State Co-Kriging Models
, 2017 In deterministic computer experiments, a computer code can often be run at different levels of complexity/fidelity and a hierarchy of levels of code can be obtained.
Hemmati, Sahar
core +3 more sources
Efficient simulation-driven design optimization of antennas using co-kriging [PDF]
Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation, 2012 We present an efficient technique for design optimization of antenna structures. Our approach exploits coarse-discretization electromagnetic (EM) simulations of the antenna of interest that are used to create its fast initial model (a surrogate) through ...
Tom Dhaene +7 more
core +3 more sources
Antenna Modeling Using Variable-Fidelity EM Simulations and Constrained Co-Kriging [PDF]
IEEE Access, 2020 Utilization of fast surrogate models has become a viable alternative to direct handling of full-wave electromagnetic (EM) simulations in EM-driven design.
Anna Pietrenko-Dabrowska +1 more
doaj +3 more sources
Mapping forest aboveground carbon stock of combined stratified sampling and RFRK model with mean annual temperature and precipitation [PDF]
Scientific ReportsAccurately estimating forest aboveground carbon stock (ACS) is essential for achieving carbon neutrality. At present, most non-parametric models still have errors in estimating carbon stock in regions.
Min Peng +5 more
doaj +2 more sources
Co-Kriging strategy for structural health monitoring of bridges
Structural Health MonitoringComputational models are crucial in applied science and engineering, offering valuable insights on the behavior of strutures and mechanical systems. However, their effectiveness is often hindered by complexity and substantial time required for execution.
Figueiredo, Eloi +2 more
core +2 more sources
Spatial mapping of soil chemical properties using multivariate geostatistics. A study from cropland in eastern Croatia [PDF]
Journal of Central European Agriculture, 2021 The spatial variability of soil chemical properties is affected by factors of soil formation and human activities. Understanding their spatial variability will improve agricultural production, reduce environmental problems (e.g., soil pollution, offsite ...
Igor Bogunovic +3 more
doaj +1 more source