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Marginal abatement cost curve of carbon emissions in China: a functional data analysis
Marginal abatement cost curve (MACC) of carbon emissions, characterizing relationship between abatement cost and associated abatement potential, is...
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Local and global timeseries proxies using functional principal component analysis: application to history-matching and uncertainty quantification
Accurate surrogate models are essential for the application of computational methods such as Markov chain Monte Carlo (McMC) using numerical...
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Seismic Fracture Characterization by QVOA Analysis Using Simulated Seismic Data by Physical Modeling
Vertical fractures cause azimuthal anisotropy in the wave-energy attenuation. To predict the fractures’ azimuth from seismic data, we develop a... -
A Comparison Between Machine Learning and Functional Geostatistics Approaches for Data-Driven Analyses of Sediment Transport in a Pre-Alpine Stream
The problem of providing data-driven models for sediment transport in a pre-Alpine stream in Italy is addressed. This study is based on a large set...
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Border-independent multi-functional, multi-hazard exposure modelling in Alpine regions
Extreme hydrometeorological events such as the 2018 Vaia storm increasingly threaten alpine regions with multiple hazards often compounded and with...
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Remote sensing data processing and analysis for the identification of geological entities
As Earth observation technology has advanced, the volume of remote sensing big data has grown rapidly, offering significant obstacles to efficient...
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Seeing the fields through the weeds: introducing the WeedEco R package for comparing past and present arable farming systems using functional weed ecology
The functional ecology of arable weeds provides a way of comparing present-day and past farming regimes. This paper presents the R package WeedEco,...
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Temporal Dynamics of Soil Microbial Functional Genes in Reclaimed Salinized Farmland in Northwest China
AbstractThe widespread abandoned saline-alkali soils in the Manas River Basin in northwest China have been reclaimed for cotton crop** in recent...
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Molecular cloning and functional analysis of two calcium-associated cuticular protein genes in Neocaridina denticulata sinensis
The body surface of crustaceans is covered with a sturdy shell. The growth and development of crustaceans are realized through molting. Neocaridina...
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Characterization of activated carbons for water treatment using TGA-FTIR for analysis of oxygen-containing functional groups
Water treatment with activated carbon (AC) is an established method for the removal of organic micropollutants and natural organic matter. However,...
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Evaluation and Development of a Predictive Model for Geophysical Well Log Data Analysis and Reservoir Characterization: Machine Learning Applications to Lithology Prediction
This work critically evaluated the applicability of machine learning methodology applied to automated well log creation towards reliable lithology...
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Application of Modern GIS and Remote Sensing Technology Based on Big Data Analysis in Intelligent Agriculture
In order to improve the effects of agricultural monitoring and agricultural production, this paper combines big data analysis technology and GIS...
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Evaluating the impact of climate change on stream flow: integrating GCM, hydraulic modelling and functional data analysis
Global climate change is an unequivocal reality that is immensely impacting the available water resources in many regions around the globe. For...
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Wells Data Geophysical Research Interpretation Features
As part of the HRS-Geo technology, an interpretation system was created, which is based on the principles of continuous functional transformations... -
Functional Fragility Curves for Production Capacity
In this chapter, the “Functional fragility curve (FFC)” was proposed to directly capture the relationship between seismic intensity and the... -
Integration of Cloud and Desktop Platforms to Support Analysis of Big Geospatial Data Time Series
Despite the computing power growth of the cloud-based platforms providing the opportunity to process the big amounts of remote sensing data, there is... -
Ecotoxicity of Dust from Different Functional Zones of Moscow
AbstractEcotoxicity of dust was assessed for different functional zones in three Moscow districts. Ecotoxicity was estimated by the reaction of...
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The statistical analysis of training data representativeness for artificial neural networks: spatial distribution modelling of heavy metals in topsoil
A four-step dividing algorithm of sampling points for artificial neural networks is presented to select a representative training subset for...
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Lincombian-Ranisian-Jerzmanowician points were used primarily as hunting weapons: morphological and functional analysis of points from Nietoperzowa Cave, southern Poland
Points from the Lincombian-Ranisian-Jerzmanowician complex (LRJ) evoke numerous comments regarding their cultural patterning and their...
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Data-driven discovery of governing equations for transient heat transfer analysis
With the development of automatic measurement and data storage, vast quantities of data can be recorded and analyzed for heat transfer processes,...