Results 51 to 60 of about 13,817,849 (263)

Application of a semivariogram based on a deep neural network to Ordinary Kriging interpolation of elevation data.

PLoS ONE, 2022
The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li, Zhong Baorong, Xu Xiaohong, Liang Zijun   +3 more
doaj   +1 more source

A conversation with James V. Zidek

Canadian Journal of Statistics, EarlyView.
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
wiley   +1 more source

Development of automatic charging control optimization technique for continuous-type inkjet printers using charged-droplet flight simulation and Bayesian optimization

Nihon Kikai Gakkai ronbunshu, 2022
Conventionally, repeated experiments by trial and error have been used to improve the printing quality of continuous-type inkjet printers. This is because the trajectories of the ink droplets are affected by external forces such as air drag and Coulomb ...
Koma SATO, Eiji ISHII, Shoichiro KISANUKI, Tsuneaki TAKAGISHI, Manabu KATO   +4 more
doaj   +1 more source

Kriging Numerical Models for Geotechnical Reliability Analysis

Soils and Foundations, 2011
When the performance function is an implicit numerical model, geotechnical reliability analysis can be challenging due to the coupling between the deterministic numerical evaluation and reliability analysis. Previously, the kriging method was used in geotechnical engineering for modeling the spatial variability of soil properties.
ZHANG, J., ZHANG, L. M., TANG, WILSON H.
openaire   +2 more sources

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

A GIS approach to modelling traffic related air pollution [PDF]

There is increased concern regarding the effect of traffic related pollution on public heath. As the number of vehicles on the roads continues to rise, it is becoming increasingly more important to identify areas where the population may be at a ...
London School of Hygiene and Tropical Medicine, London, Collins, Susan, National Institute of Public Health and Environmental Protection, Bilthoven, The Netherlands   +2 more
core   +4 more sources

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Exponentially‐constrained Gaussian mixture model for quantifying vertical development of water‐conducting fracture zones in lithologically stratified mining roofs

Deep Underground Science and Engineering, EarlyView.
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan, Zhimin Xu, Weixiao Chen, Chenghang Zhang, Shijie Xiong, Yajun Sun   +5 more
wiley   +1 more source

Research on Vehicle Frame Optimization Methods Based on the Combination of Size Optimization and Topology Optimization

World Electric Vehicle Journal
The efficient development of electric vehicles is essential to drive society towards sustainable development. Designing a lightweight frame is a key strategy to improve the economy and environment, increase energy efficiency, and reduce carbon emissions.
Qun He, Xinning Li, Wenjie Mao, Xianhai Yang, Hu Wu   +4 more
doaj   +1 more source

Ride comfort optimization of a multi-axle heavy motorized wheel dump truck based on virtual and real prototype experiment integrated Kriging model

Advances in Mechanical Engineering, 2015
The optimization of hydro-pneumatic suspension parameters of a multi-axle heavy motorized wheel dump truck is carried out based on virtual and real prototype experiment integrated Kriging model in this article.
Bian Gong, Xuexun Guo, Sanbao Hu, Lin Xu
doaj   +1 more source