Results 51 to 60 of about 32,193 (219)
A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2023 Soil thickness has a significant influence on many of earth surface processes, and it can be mapped using various methods. Digital soil mapping can be used to estimate the spatial distribution of soil thickness and can estimate the uncertainty of the ...
Muhammad Fauzan Ramadhan +3 more
doaj +1 more source
On Prediction Properties of Kriging: Uniform Error Bounds and Robustness
, 2019 Kriging based on Gaussian random fields is widely used in reconstructing unknown functions. The kriging method has pointwise predictive distributions which are computationally simple. However, in many applications one would like to predict for a range of
Tuo, Rui, Wang, Wenjia, Wu, C. F. Jeff
core +1 more source
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 +4 more
wiley +1 more source
Empirical stationary correlations for semi-supervised learning on graphs
, 2010 In semi-supervised learning on graphs, response variables observed at one node are used to estimate missing values at other nodes. The methods exploit correlations between nearby nodes in the graph.
Dyer, Justin S., Owen, Art B., Xu, Ya
core +1 more source
Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design [PDF]
, 2013 The paper explores kriging surrogate modelling combined with expected improvement approach for the design of electromagnetic devices. A novel algorithm based on the concept of rewards is proposed, tested and demonstrated in the context of TEAM Workshop ...
Rotaru, M., Sykulski, J.K., Xiao, Song
core +1 more source
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 +4 more
wiley +1 more source
Investigation on the potential of regression kriging for mapping oriental beech forest site productivity in research forest of Tarbiat Modares University [PDF]
مجله جنگل ایران, 2018 Forest resources mapping is a prerequisite for sustainable forest management. Site productivity is a key indicator of forest ecosystem services like wood production, carbon sequestration, etc.
Zahra Ahadi +2 more
doaj
On a novel approach for optimizing composite materials panel using surrogate models [PDF]
, 2011 This paper describes an optimization procedure to design thermoplastic composite panels under axial compressive load conditions. Minimum weight is the goal. The panel design is subject to buckling constraints.
Akcay-Perdahcioglu, D. +3 more
core +1 more source
Modelling environmental factors correlated with podoconiosis: a geospatial study of non-filarial elephantiasis [PDF]
, 2014 Introduction The precise trigger of podoconiosis — endemic non-filarial elephantiasis of the lower legs — is unknown. Epidemiological and ecological studies have linked the disease with barefoot exposure to red clay soils of volcanic origin ...
Atkinson, Peter M +6 more
core +2 more sources