Results 31 to 40 of about 167,195 (219)

Regularization of Kriging interpolation on irregularly spaced data

open access: yesCoRR, 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,
openaire   +2 more sources

Information Diffusion Interpolation Model Based on the PSO-CV Algorithm and Its Application on Source Regions of the Yellow River

open access: yesRenmin Zhujiang, 2021
The spatial interpolation based on the limited observation data of precipitation stations is an effective means to explore the spatial characteristics of precipitation.This paper briefly introduces a spatial interpolation model based on the information ...
HUANG Huaping, YIN Kaixia, JIN Gaoyang
doaj  

An Improved Spatio-Temporal Kriging Interpolation Algorithm and Its Application in Slope

open access: yesIEEE Access, 2020
Slope stability analysis based on the deformation monitoring data has been commonly used to predict and warn slope disasters. However, due to breakdown of the monitoring equipment or restrictions and interferences of internal and external factors in the ...
Haiping Xiao   +3 more
doaj   +1 more source

Optimale Methoden zur Interpolation von Umweltvariablen in Geographischen Informationssystemen [PDF]

open access: yesGeographica Helvetica
In Geographie Information Systems there are many applications where the objeets of study can only be described by sampling information at selected point locations and by subsequent interpolation.
P. A. Burrough
doaj   +1 more source

The Interpolation Method for Estimating the Above-Ground Biomass Using Terrestrial-Based Inventory

open access: yesJurnal Manajemen Hutan Tropika, 2014
This paper examined several methods for interpolating biomass on logged-over dry land forest using terrestrial-based forest inventory in Labanan, East Kalimantan and Lamandau, Kota Wringing Barat, Central Kalimantan.
I Nengah Surati Jaya
doaj   +5 more sources

FPGA Architecture for Kriging Image Interpolation [PDF]

open access: yesInternational 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
openaire   +1 more source

Rapid generation method of RSS fingerprint data in underground roadway

open access: yesGong-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
doaj   +1 more source

Perbandingan Akurasi Metode Inverse Distance Weighting dan Kriging dalam Pemetaan Kedalaman Muka Airtanah

open access: yesMajalah 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
doaj   +1 more source

Revolutionising Agricultural Sustainability: New ‘Furrow Tillage’ can Mitigate Short‐Term Soil‐to‐Atmosphere CO2 Flux and Promote Soil‐Plant‐Microbe Health

open access: yesAdvanced Science, EarlyView.
Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar   +10 more
wiley   +1 more source

Fusing Direct and Indirect Measurements Through Multi‐Fidelity Learning For Accelerated Electrocaloric Materials Discovery

open access: yesAdvanced Science, EarlyView.
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang   +8 more
wiley   +1 more source

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