Results 121 to 130 of about 6,225 (246)

Bayesian Quadrature for Multiple Related Integrals [PDF]

, 2018
Bayesian probabilistic numerical methods are a set of tools providing posterior distributions on the output of numerical methods. The use of these methods is usually motivated by the fact that they can represent our uncertainty due to incomplete/finite ...
Briol, François-Xavier, Girolami, Mark, Xi, Xiaoyue   +2 more
core   +1 more source

Spatial relationship of turfgrass tissue nitrogen content and several vegetation indices on sand‐capped golf course fairways

Agrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.
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, Opeyemi E. Alabi, Weston W. Floyd, Sarah G. Hong, Dallas M. Williams, Briana M. Wyatt, A. Peyton Smith, Chase M. Straw   +7 more
wiley   +1 more source

Quantity and Quality Modeling of Groundwater by Conjugation of ANN and Co-Kriging Approaches

, 2012
Today, groundwater is a major source of supply for domestic and agricultural purposes; especially in arid and semi arid regions. More water is being consumed to meet of a society whose population increases steadily. Worldwide, irrigated land has increased from 50 million ha in 1900 to 267 million ha in 2000 (Cay and Uyan, 2009).
Vahid Nourani, Reza Goli
openaire   +2 more sources

Physics‐Informed Bayesian Optimisation of Utility‐Scale Wind Farms in Synthetically Generated Complex Terrain Using LES

Wind Energy, Volume 29, Issue 6, June 2026.
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, Rafael Palacios, Sylvain Laizet   +2 more
wiley   +1 more source

Decoding XCO2 Distributions Over the Indian Subcontinent Using Deep Neural Network Based High‐Resolution Long‐Term Satellite Observations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract India often faces challenges in monitoring atmospheric carbon dioxide (CO2) through satellite observations due to persistent cloud cover, especially during the monsoon season. This limitation affects the continuous tracking of carbon and hinders accurate assessments of carbon‐climate interactions.
Digvijay Kumar Singh, Ravi Kumar Kunchala, Sarvesh Dubey, Chiranjit Das, Balaji Baduru   +4 more
wiley   +1 more source

Spatial Distribution of Grain Yield in the Songnen Plain Agro-Pastoral Zone in Heilongjiang Province: A Study Using Geostatistics and Geographically Weighted Regression

Land
This study examines the spatial distribution of grain yield in the Songnen Plain Agro-Pastoral Zone in Heilongjiang Province from 2015, 2017, 2019 and 2021, using Kriging interpolation as the primary method.
Bing Sun, Yushuang Wang, Meiying Du, Hongyu Niu   +3 more
doaj   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, Volume 72, Issue 5, May 2026.
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, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Chow-Lin Methods in Spatial Mixed Models [PDF]

Missing data in dynamic panel models occur quite often since detailed recording of the dependent variable is often not possible at all observation points in time and space.
Carlos Llano, Richard Sellner, Wolfgang Polasek   +2 more
core  

Accelerating Full‐Wave Antenna Optimization: An Adaptive Surrogate‐Assisted Differential Evolution Framework

Engineering Reports, Volume 8, Issue 5, May 2026.
An adaptive surrogate‐assisted differential evolution framework integrates machine learning‐based surrogate modeling with selective full‐wave electromagnetic validation to accelerate antenna optimization. A CST–Python workflow combines Latin‐hypercube sampling, cross‐validated model selection, and iterative dataset refinement to guide the search toward
Muhammad Farooq, Shahid Bashir, Mohammad Haseeb Zafar, Ruhul Amin Khalil   +3 more
wiley   +1 more source

Fault‐Mediated Groundwater‐Surface Water Mixing Amplifies Hydrochemical/Hydrological Dynamics in a Semi‐Arid Volcanic Lake Basin

Hydrological Processes, Volume 40, Issue 5, May 2026.
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, S. Olea‐Olea, R. E. Villanueva‐Estrada, M. A. Mejía‐González, L. González‐Hita, E. Morales‐Casique, O. Zamora‐Martínez, M. G. Gómez‐Vasconcelos, Denis‐Ramón Avellan, N. Ramírez‐Serrato   +9 more
wiley   +1 more source