Results 91 to 100 of about 12,470 (233)

An Adaptive Moving Window Kriging Based on K-Means Clustering for Spatial Interpolation

Algorithms
Ordinary kriging (OK) is a popular interpolation method for its ability to simultaneously minimize error variance and deliver statistically optimal and unbiased predictions. In this work, the adaptive moving window kriging with K-means clustering (AMWKK)
Nattakan Supajaidee, Nawinda Chutsagulprom, Sompop Moonchai   +2 more
doaj   +1 more source

Data-driven RRAM device models using Kriging interpolation. [PDF]

Sci Rep, 2022
Hossen I, Anders MA, Wang L, Adam GC.
europepmc   +1 more source

A Scalable Bayesian Spatiotemporal Model for Water Level Predictions Using a Nearest Neighbor Gaussian Process Approach

Environmetrics, Volume 37, Issue 5, July 2026.
ABSTRACT Obtaining accurate water level predictions is essential for water resource management and implementing flood mitigation strategies. Several data‐driven models can be found in the literature. However, there has been limited research with regard to addressing the challenges posed by large spatio‐temporally referenced hydrological datasets, in ...
Victor Hugo Nagahama, James Sweeney, Niamh Cahill   +2 more
wiley   +1 more source

Permanent nearshore sediment loss and inevitable retreat of cohesive bluff‐backed beaches

Earth Surface Processes and Landforms, Volume 51, Issue 7, July 2026.
Net volume in survey control areas at the dune‐backed beach (PB) and bluff‐backed beach (LD) is shown between surveys (‘interval’), where the first point is the difference between 2012 and 2020 JABLTCX LiDAR surveys. Cumulative totals are shown as square markers. Water levels during the same dates are shown in grey.
Chelsea A. Volpano, Lucas K. Zoet, J. Elmo Rawling III   +2 more
wiley   +1 more source

Source Apportionment and Geographic Distribution of Heavy Metals and as in Soils and Vegetables Using Kriging Interpolation and Positive Matrix Factorization Analysis. [PDF]

Int J Environ Res Public Health, 2022
Su H, Hu Y, Wang L, Yu H, Li B, Liu J.
europepmc   +1 more source

Global Wind Field Reconstruction in the Mesosphere and Lower Thermosphere (MLT) During Geomagnetic Storms by Fusing TIDI and SABER Data: A Generative Adversarial Network (GAN) Approach

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
ABSTRACT The Mesosphere and Lower Thermosphere establish an essential connection between Earth's lower atmosphere and upper atmosphere because wind patterns essential for atmospheric movement also influence energy distribution and chemical movements during geomagnetic storms that disrupt satellite operations and space weather prediction systems.
Yunhao Si
wiley   +1 more source

Traffic Estimation for Large Urban Road Network with High Missing Data Ratio

Sensors, 2019
Intelligent transportation systems require the knowledge of current and forecasted traffic states for effective control of road networks. The actual traffic state has to be estimated as the existing sensors does not capture the needed state.
Kennedy John Offor, Lubos Vaci, Lyudmila S. Mihaylova   +2 more
doaj   +1 more source

Earthquake precursory detection using diurnal GPS-TEC and kriging interpolation maps: 12 May 2008, Mw7.9 Wenchuan case study. [PDF]

MethodsX, 2022
Thammaboribal P, Tripathi NK, Ninsawat S, Pal I.   +3 more
europepmc   +1 more source

Hydrological control of ecosystem functioning in a coastal lagoon

Limnology and Oceanography, Volume 71, Issue 7, July 2026.
Abstract Located at the land–ocean interface, coastal lagoons are specifically vulnerable to increasing threats from anthropogenic activities and climate change. Understanding the hydrological and ecological responses of these lagoon systems to global and local changes is essential.
Aladin Andrisoa, Marenjaka Masimana, Brillant Sambo, Thomas C. Stieglitz   +3 more
wiley   +1 more source

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 387-402, July 2026.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source