Results 41 to 50 of about 56,902 (196)

Bootstrap based uncertainty bands for prediction in functional kriging [PDF]

, 2016
The increasing interest in spatially correlated functional data has led to the development of appropriate geostatistical techniques that allow to predict a curve at an unmonitored location using a functional kriging with external drift model that takes ...
Franco-Villoria, Maria, Ignaccolo, Rosaria   +1 more
core   +3 more sources

Numerical investigation on the influence of mesoscopic deformation on contact area and hydraulic aperture to fracture seepage

Deep Underground Science and Engineering, EarlyView.
Fluid flow through a single fracture is commonly described by the cubic law. However, deviations from this model are expected because natural fracture surfaces are rough and in contact with each other in discrete regions. In this study, the interactions between fracture closure, contact area, and hydraulic characterization of mesoscopic‐scale rough ...
Chenghao Han, Yuanlin Bai, Weijie Zhang, Jicheng Zhang, Hongfa Ma, Weiye Li   +5 more
wiley   +1 more source

Comparing Methods for Interpolation to Improve Raster Digital Elevation Models [PDF]

, 2012
Digital elevation models (DEMs) are available as raster files at 100m, 30m, and 10m resolutions for the contiguous United States and are used in a variety of geographic analyses. Some projects may require a finer resolution.
Guarneri, J. C., Weih, R. C., Jr.
core   +3 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

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

The quasi-fiducial model selection for Kriging model

Statistical Theory and Related Fields
Kriging models are widely employed due to their simplicity and flexibility in a variety of fields. To gain more distributional information about the unknown parameters, we focus on constructing the fiducial distribution of Kriging model parameters.
Chen Fan, Shuqin Zhang, Xinmin Li
doaj   +1 more source

An informational approach to the global optimization of expensive-to-evaluate functions

, 2007
In many global optimization problems motivated by engineering applications, the number of function evaluations is severely limited by time or cost. To ensure that each evaluation contributes to the localization of good candidates for the role of global ...
Département Signaux, Emmanuel Vazquez, Eric Walter, Julien Villemonteix, Renault S. A, Systèmes Électroniques   +5 more
core   +5 more sources

Performance study of multi-fidelity gradient enhanced kriging [PDF]

, 2014
Multi-fidelity surrogate modelling offers an efficient way to approximate computationally expensive simulations. In particular, Kriging-based surrogate models are popular for approximating deterministic data.
Couckuyt, Ivo, Dhaene, Tom, Ferranti, Francesco, Laermans, Eric, Ulaganathan, Selvakumar   +4 more
core   +2 more sources

Sunshine Duration in Brazil From Meteosat (1983–2020): Climatology, Variability and Long‐Term Trends

International Journal of Climatology, EarlyView.
Using nearly four decades of Meteosat satellite data (1983–2020), this study presents a country‐wide climatology of sunshine duration (SDU) in Brazil. The results reveal marked regional contrasts, dominant modes of variability, and significant long‐term trends, providing new information on the most relevant meteorological systems that influence SDU and
Maria Lívia Lins Mattos Gava, Simone Marilene Sievert da Costa, Íris Paraguay Silva   +2 more
wiley   +1 more source

Advanced Kriging response surface approach for efficient design optimization

Nihon Kikai Gakkai ronbunshu, 2014
In this research, a Gradient-Vector Product (GVP) enhanced Kriging response surface model approach has been developed in which the GVP is defined by the gradient vector of objective function with respect to design variables as well as an arbitral unit ...
Wataru YAMAZAKI
doaj   +1 more source