Results 51 to 60 of about 9,305 (199)
Semivariogram analysis of bone images implemented on FPGA architectures [PDF]
Osteoporotic fractures are a major concern for the healthcare of elderly and female populations. Early diagnosis of patients with a high risk of osteoporotic fractures can be enhanced by introducing second-order statistical analysis of bone image data using techniques such as variogram analysis.
Mukul Shirvaikar +2 more
openaire +2 more sources
A Step Toward Rainfall Erosivity Mapping Over Türkiye Using Kriging With External Drift
This study maps rainfall erosivity (R factor) across Türkiye by integrating station‐based observations with satellite‐based precipitation data. The Modified Fournier Index (MFI) derived from CHIRPS was first validated against ground measurements and subsequently incorporated as auxiliary information within a kriging with external drift (KED) framework.
Sait Genar Yaldiz +2 more
wiley +1 more source
Study of the spatial variability of moisture and compaction in soils with different plant covers
Soil is a dynamic system, with physical, chemical and biological properties that have high spatial variability, making necessary to use innovative methodologies to study this variability.
Lida Paola Pinzón-Gómez +2 more
doaj +1 more source
Understanding the spatial variability of soil organic matter (SOM) is crucial for implementing precise land degradation control and fertilization to improve crop productivity.
Ping Yan +5 more
doaj +1 more source
Abstract The Larderello‐Travale area in the northern Apennines of Italy hosts the world's oldest exploited geothermal field. Its success lies primarily in the presence of an extraordinary geothermal resource housed in a large vapor‐dominated fractured reservoir that produces superheated steam.
D. Granieri +6 more
wiley +1 more source
Fast semivariogram computation using FPGA architectures
The semivariogram is a statistical measure of the spatial distribution of data and is based on Markov Random Fields (MRFs). Semivariogram analysis is a computationally intensive algorithm that has typically seen applications in the geosciences and remote sensing areas.
Yamuna Lagadapati +2 more
openaire +2 more sources
Abstract Irrigation is essential for stabilizing yields and sustaining food production, yet it faces increasing challenges, especially in water‐scarce regions. Cosmic‐ray neutron sensors (CRNS) are a promising tool in irrigation management as they can continuously monitor soil water content (SWC) over large areas.
C. Brogi +5 more
wiley +1 more source
Spatial risk measures and applications to max-stable processes
The risk of extreme environmental events is of great importance for both the authorities and the insurance industry. This paper concerns risk measures in a spatial setting, in order to introduce the spatial features of damages stemming from environmental
Koch, Erwan
core +1 more source
A pipeline for improved QSAR analysis of peptides: physiochemical property parameter selection via BMSF, near-neighbor sample selection via semivariogram, and weighted SVR regression and prediction [PDF]
In this paper, we present a pipeline to perform improved QSAR analysis of peptides. The modeling involves a double selection procedure that first performs feature selection and then conducts sample selection before the final regression analysis.
Bai, Lianyang +5 more
core +1 more source
Larval diet breadth and wingspan mediate landscape–richness relationship in butterfly communities
Read the free Plain Language Summary for this article on the Journal blog. Abstract Landscape structure and species traits both shape butterfly assemblages, but their joint effects, and how landscapes restructure trait space independently of richness, remain less understood.
Dušanka Vujanović +10 more
wiley +1 more source

