Results 101 to 110 of about 78,859 (235)
A geostatistical model based on Brownian motion to Krige regions in R2 with irregular boundaries and holes [PDF]
Master's Project (M.S.) University of Alaska Fairbanks, 2019Kriging is a geostatistical interpolation method that produces predictions and prediction intervals.
Bernard, Jordy
core
ABSTRACT Terrigenous sediments are transported from coastal areas and shelves to deeper continental margins by multiple processes. Understanding these processes is critical for evaluating the ecological impacts of fine‐grained sediment deposition and predicting future changes in sediment dispersal under rapid climate change.
Gyu Tae Sim +5 more
wiley +1 more source
Anti‐Astrotropik — Outer Space, Technology and Resistance in the Tropics
This paper traces an intellectual and geographical arc of thinking about outer space in the tropics, connecting Peter Redfield's Space in the Tropics: From Convicts to Rockets in French Guiana (2000), Sean T. Mitchell's Constellations of Inequality: Space, Race, and Utopia in Brazil (2017) and Asif Siddiqi's Cosmic Fragments: Dislocation and Discontent
Rob Krawczyk
wiley +1 more source
Abstract Vegetation indices (VIs), such as normalized difference vegetation index (NDVI), are widely used to assess nitrogen (N) status in crop systems and are gaining interest in turfgrass management. However, most studies have been conducted in controlled settings, and their relevance under real‐world golf course conditions remains unclear.
Madan Sapkota +7 more
wiley +1 more source
ABSTRACT Optimising turbine layouts to maximise power output is crucial for wind farm development, particularly in complex terrain where analytical wake models fail to capture key flow physics. We present the first application of Bayesian optimisation (BO) combined with large eddy simulations (LES) for utility‐scale wind farm layout optimisation in ...
Christian Jané‐Ippel +2 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
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
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
Isotopes data help to understand the GW‐SW connectivity, the recharge elevations, and evaporation in a volcanic lake basin. ABSTRACT Understanding groundwater (GW) to surface water (SW) connectivity (i.e., the exchange of water and solutes between aquifers and surface bodies) is increasingly important under changing climate conditions, where ...
L. Ramírez‐González +9 more
wiley +1 more source
Improving short-term grade block models: alternative for correcting soft data
Short-term mining planning typically relies on samples obtained from channels or less-accurate sampling methods. The results may include larger sampling errors than those derived from diamond drill hole core samples.
Cristina da Paixão Araújo +2 more
doaj +1 more source

