Results 31 to 40 of about 6,631 (202)
Regularization of Kriging interpolation on irregularly spaced data
CoRR, 2023 Interpolation models are critical for a wide range of applications, from numerical optimization to artificial intelligence. The reliability of the provided interpolated value is of utmost importance, and it is crucial to avoid the insurgence of spurious noise. Noise sources can be prevented using proper countermeasures when the training set is designed,
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Rapid generation method of RSS fingerprint data in underground roadway
Gong-kuang zidonghua, 2016 In view of problem of low efficiency of traditional sampling of RSS fingerprint data point by point in underground roadway, a rapid generation method of RSS fingerprint data based on Kriging interpolation algorithm was proposed. Firstly, theory variogram
WANG Yongxing, HUA Gang, ZHANG Xin
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Majalah Geografi Indonesia, 2019 Setiap metode interpolasi spasial yang disediakan oleh sitem informasi geografis (SIG) memiliki akurasi yang berbeda. Oleh karena itu pengetahuan terhadap akurasi metode tersebut sangat diperlukan oleh pengguna SIG.
Sadewa Purba Sejati
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FPGA Architecture for Kriging Image Interpolation [PDF]
International Journal of Advanced Computer Science and Applications, 2013 This paper proposes an ultrafast scalable embedded image compression scheme based on discrete cosine transform. It is designed for general network architecture that guarantees maximum end-to-end delay (EED), in particular the Distributed Multimedia Plays (DMP) architecture.
Maciej Wielgosz +2 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.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
Geosciences, 2018 The paper presents an optimized method of digital terrain model (DTM) estimation based on modified kriging interpolation. Many methods are used for digital terrain model creation; the most popular methods are: inverse distance weighing, nearest neighbour,
Maleika Wojciech
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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
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 +5 more
wiley +1 more source
Image Inpainting by Kriging Interpolation Technique
CoRR, 2013 6 pages, 9 figures, 1 ...
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