Results 31 to 40 of about 7,767 (249)
Ege Bölgesi’nde yağışın mekânsal dağılımı
Coğrafi Bilimler Dergisi, 2013 Spatial modelling of climatological variables is one of the most crucial parts of environmental studies. Prediction of natural events such as hydrological phenomenon, drought, flood, ground-surface water amount, pollution of water sources, and issues ...
Olgu Aydın, İhsan Çiçek
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Sparsity-aware field estimation via ordinary Kriging
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 In this paper, we consider the problem of estimating a spatially varying field in a wireless sensor network, where resource constraints limit the number of sensors selected in the network that provide their measurements for field estimation. Based on a one-to-one correspondence between the selected sensors and the nonzero elements of Kriging weights ...
Sijia Liu 0001 +3 more
openaire +2 more sources
Metamodel-Assisted Multidisciplinary Design Optimization of a Radial Compressor
International Journal of Turbomachinery, Propulsion and Power, 2019 Kriging is increasingly used in metamodel-assisted design optimization. For expensive simulations; however, one can afford only a few samples to build the Kriging model, which consequently lacks prediction accuracy.
Mohamed H. Aissa, Tom Verstraete
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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
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Spatial Prediction for Real Data using Kriging Technique [PDF]
المجلة العراقية للعلوم الاحصائية, 2018 This study investigates the prediction of unstable random spatial process using the Ordinary Kriging technique, based on the variogram function Y(X,Y) in finding out the predictors, and the universal multivariate technique, which has been applied by ...
Shaymaa Riyadh Thanoon Thanoon
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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
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NUST Journal of Engineering Sciences, 2017 Spatial interpolation is commonly used to generate water quality surfaces, but different spatial interpolation methods yield different surfaces from the same data.
Syed Umair Shahid +2 more
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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
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 +2 more
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Heat Transfer, EarlyView.ABSTRACT Compact plate‐fin heat exchangers (PFHEs) are commonly utilized in diverse industries, including aerospace, automotive, processing, and space. Various fin configurations, such as Plain fins, Wavy fins, Lance and Offset fins (OSFs), Perforated fins, louvered fins, and pin fins, are employed in compact heat exchangers (CHEs).
Chennu Ranganayakulu
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