Results 41 to 50 of about 41,613 (278)

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

Kriging Convolutional Networks

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Spatial interpolation is a class of estimation problems where locations with known values are used to estimate values at other locations, with an emphasis on harnessing spatial locality and trends. Traditional kriging methods have strong Gaussian assumptions, and as a result, often fail to capture complexities within the data.
Gabriel Appleby, Linfeng Liu 0004, Liping Liu 0001   +2 more
openaire   +4 more sources

Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models

, 2015
Surrogate models or metamodels are commonly used to exploit expensive computational simulations within a design optimization framework. The application of multi-fidelity surrogate modeling approaches has recently been gaining ground due to the potential ...
Toal, David J.J.
core   +1 more source

Dynamic prediction of coal and gas outburst risk based on quantitative analysis of stress–energy evolution and adaptive correction

Deep Underground Science and Engineering, EarlyView.
This study quantitatively analyzed the spatiotemporal evolution of stress redistribution ahead of the working face by integrating coal seam distribution, tectonic stress anomalies, gas pressure, and mining‐induced disturbances. An R‐value criterion for coal and gas outburst (CGO) risk assessment was established based on energy principles.
Yingjie Zhao, Xueqiu He, Dazhao Song, Liming Qiu, Minggong Guo, Jie Liu, Qiang Liu, Yi Zhu   +7 more
wiley   +1 more source

Human pressure, habitat heterogeneity and species traits jointly determine the level of dark diversity in coastal fish communities

Ecography, EarlyView.
Understanding how anthropogenic pressures and environmental gradients shape coastal fish communities is a central question in biogeography and marine conservation. Yet, the set of species expected to occur at a site given ecological conditions but being absent – the so‐called dark diversity – has received far less attention than observed species, even ...
Loïc Sanchez, Jeanne Rolland, Adèle Barroil, Célia Bertrand, Agathe Blandin, Pierre Boissery, Thomas Bockel, Eric Charbonnel, Julie Deter, Régis Hocdé, Florian Holon, Jean‐Baptiste Juhel, Nicolas Loiseau, Bastien Macé, Anthony Maire, Stéphanie Manel, Marie Orblin, Franck Pichot, Jean‐Jacques Riutort, Lola Romant, Rémy Simide, Alice Valentini, Laure Velez, David Mouillot   +23 more
wiley   +1 more source

Comparation to the Methods of Interpolation with ASTER GDEM V2 Based on ICESat/GLA14 Lvliang Mountains in Shanxi Province

Chemical Engineering Transactions, 2015
ICESat/GLA14, a series of altitude points with high accuracy, it can be used for ASTER GDEM data’s accuracy correction, while the rational interpolation method is the important guarantee for the quality of ASTER GDEM data correction results.
D.C. He, L. Wang, B.L. Gao, C.W. Xu, J.J. Chen   +4 more
doaj   +1 more source

Grade estimation of Zu2 Jajarm deposit by considering imprecise variogram model parameters based on the extension principle [PDF]

International Journal of Mining and Geo-Engineering, 2018
Nowadays, kriging has been accepted as the most common method of grade estimation in mineral resource evaluation stage. Access to the crisp assay data and a variogram model are the necessary means for the utilization of this method. Since fitting a crisp
Saeed Soltani, Abbas Soltani, Emad Chamanifard   +2 more
doaj   +1 more source

Interpolation of ionospheric modalities using kriging, co-kriging and spatio-temporal kriging

, 2018
Long distance communication and navigation systems operating in the HF band use interacting signals as they travel through the ionosphere. It is important to accurately model ionospheric behavior to increase the performance of these systems. Delays occurring in the signals depend on the refrectivity which is a function of frequency of the signals, and ...
openaire   +3 more sources

Bayesian Local Kriging

Technometrics, 2017
We consider the problem of constructing metamodels for computationally expensive simulation codes; that is, we construct interpolation/prediction of functions values (responses) from a finite collection of evaluations (observations). We use Gaussian process modeling and Kriging, and combine a Bayesian approach, based on a finite set of covariance ...
Pronzato, Luc, Rendas, Joaõ
openaire   +2 more sources