Results 91 to 100 of about 12,800 (234)
Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal +3 more
wiley +1 more source
ABSTRACT Species distribution models (SDMs) are widely used to predict the spread of invasive species, yet their accuracy over time and the influence of climate data resolution remain unclear. Here, we examine the capacity of SDMs to predict the distribution and short‐term expansion of the invasive gall wasp Dryocosmus kuriphilus, and compare the ...
José Carlos Pérez‐Girón +3 more
wiley +1 more source
ABSTRACT Although numerous prediction methods have been developed, scientific estimation of the spatiotemporal pattern of soil erosion at the watershed scale remains challenging. In this study, fallout radionuclides of 210Pbex and 137Cs were used to estimate average annual soil erosion and deposition in a Mollisol watershed in Northeast China ...
Shaoliang Zhang +7 more
wiley +1 more source
ABSTRACT Knowledge of the factors influencing the spatial distribution of farmland soil organic carbon (SOC) content contributes to a better understanding of human impacts on soil, which is crucial for improving soil quality and mitigating climate change.
Ke Quan, Xinguo Li, Xiangyu Ge
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
Abstract We applied an integrated UAV‐ and ground‐based magnetometry workflow to map shallow subsurface fractures and cavities in the town of Grindavík during the 2023–2025 volcano‐tectonic crisis. Short‐wavelength linear and semi‐circular magnetic lows delineate open or partially open fractures and localized cavities, including features with no ...
E. J. Piispa +12 more
wiley +1 more source
Abstract Accurate and timely reconstruction of sea surface wind fields from available scatterometer‐derived observations is essential for rapid‐response forecasting and operational oceanography. In this study, we explore a novel physics‐guided generative learning network to reconstruct sea surface wind vector fields directly from sparse scatterometer ...
Ran Bo +7 more
wiley +1 more source
Abstract Headwater catchments provide essential water and nutrients to downstream ecosystems. The timing and evolution of their transport is shaped in part by the “invisible” subsurface structure but have been largely unexplored at the watershed scale.
Xueyuan Kang +5 more
wiley +1 more source
Kriging-Based Finite Element Method: Element-By-Element Kriging Interpolation
An enhancement of the finite element method with Kriging shape functions (K-FEM) was recently proposed. In this method, the field variables of a boundary value problem are approximated using ‘element-by-element’ piecewise Kriging interpolation (el-KI ...
W. Kanok-Nukulchai, F. T. Wong
doaj
ABSTRACT Ensuring the long‐term erosional stability of post‐mining landforms remains a major challenge in open‐pit mining. Reconstructed landscapes must support the agreed post‐mining land use, such as cattle grazing in the Hunter region of southeastern Australia, requiring stable pasture and minimal soil loss.
I. P. Senanayake, G. R. Hancock
wiley +1 more source

