UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

The Effect of Splitting of Raw Data into Training and Test Subsets on the Accuracy of Predicting Spatial Distribution by a Multilayer Perceptron

Mathematical geosciences, 2020-01, Vol.52 (1), p.111-121

2020

Volltextzugriff (PDF)

Counter-prediction approach to predict the missing values of a spatial series on the example of the dustiness in the snow cover

Modeling earth systems and environment, 2023-06, Vol.9 (2), p.1523-1530

2023

Volltextzugriff (PDF)

Atmospheric Air Dust Concentration, Composition And Size Distribution Data At Breathing Heights In Yekaterinburg

Geography, environment, sustainability, 2024-01, Vol.16 (4), p.193-199

2024

Volltextzugriff (PDF)

Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals

Catena (Giessen), 2019-03, Vol.174, p.425-435

2019

Volltextzugriff (PDF)

High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging

Applied geochemistry, 2018-01, Vol.88, p.188-197

2018

Volltextzugriff (PDF)

The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil

Catena (Giessen), 2021-12, Vol.207, p.105699, Article 105699

2021

Volltextzugriff (PDF)

MODELING OF THE SPATIAL DISTRIBUTION OF CHROME AND MANGANESE IN SOIL: SELECTION OF A TRAINING SUBSET

Геоэкология. Инженерная геология. Гидрогеология. Геокриология, 2023-09 (5), p.88-96

2023

Volltextzugriff (PDF)

About data separation for the artificial neural network training to predict the spatial distribution of the chemical element in the soil

AIP Conference Proceedings, 2019, Vol.2174 (1)

2019

Volltextzugriff (PDF)

A hybrid method for assessment of soil pollutants spatial distribution

AIP Conference Proceedings, 2017, Vol.1863 (1)

2017

Volltextzugriff (PDF)

Review and possible development direction of the methods for modeling of soil pollutants spatial distribution

AIP Conference Proceedings, 2017, Vol.1863 (1)

2017

Volltextzugriff (PDF)

The results of the retrieval of average atmospheric methane fields from summer ground-based measurements on Bely Island in 2016 and 2017

AIP Conference Proceedings, 2019, Vol.2116 (1)

2019

Volltextzugriff (PDF)

Particulate matter size distribution in air surface layer of Middle Ural and Arctic territories

Atmospheric pollution research, 2019-07, Vol.10 (4), p.1220-1226

2019

Volltextzugriff (PDF)

Recovery of average effective methane concentration field in the region of Kara and Barents Seas using a passive location of the atmosphere by wind

AIP Conference Proceedings, 2018, Vol.2040 (1)

2018

Volltextzugriff (PDF)

Modeling of surface dust concentration in snow cover at industrial area using neural networks and kriging

AIP Conference Proceedings, 2017, Vol.1836 (1)

2017

Volltextzugriff (PDF)

Estimation of the Spatial Distribution of Methane Concentration in the Area of the Barents and Kara Seas in Summer in 2016–2017

Russian meteorology and hydrology, 2020-03, Vol.45 (3), p.193-200

2020

Volltextzugriff (PDF)

Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic

AIP Conference Proceedings, 2017, Vol.1836 (1)

2017

Volltextzugriff (PDF)

Prediction of the chrome distribution in subarctic Noyabrsk using co-kriging, generalized regression neural network, multilayer perceptron, and hybrid technics

Геоэкология. Инженерная геология. Гидрогеология. Геокриология, 2019-05 (2), p.77-86

2019

Volltextzugriff (PDF)

High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging

AIP Conference Proceedings, 2017, Vol.1836 (1)

2017

Volltextzugriff (PDF)

Estimation of the Spatial Distribution of Methane Concentrationin the Area of the Barents and Kara Seasin Summer in 2016–2017

Russian meteorology and hydrology, 2020-01, Vol.45 (3), p.193-200

2020

Volltextzugriff (PDF)

COMPARATIVE ANALYSIS OF DATA SPLITTING ALGORITHMS FOR TRAINING ARTIFICIAL NEURAL NETWORKS IN MODELING THE SPATIAL DISTRIBUTION OF HEAVY METALS IN THE TOPSOIL

Траектория исследований – человек, природа, технологии, 2022 (3), p.73-88

2022

Volltextzugriff (PDF)

VERTICAL DISTRIBUTION OF DUST CHARACTERISTICS OF THE ATMOSPHERIC SURFACE LAYER IN EKATERINBURG

Траектория исследований – человек, природа, технологии, 2022 (3), p.60-72

2022

Volltextzugriff (PDF)

Two-step combined algorithm for improving the accuracy of predicting methane concentration in atmospheric air based on the NARX neural network and subsequent prediction of residuals

Arktika, ėkologii͡a︡ i ėkonomika, 2020-06 (2(38)), p.59-67

2020

Volltextzugriff (PDF)

Rapid Evolution of a Fragment-like Molecule to Pan-Metallo-Beta-Lactamase Inhibitors: Initial Leads toward Clinical Candidates

Journal of medicinal chemistry, 2022-12, Vol.65 (24), p.16234-16251

2022

Volltextzugriff (PDF)

The impact of LR-HSQMBC very long-range heteronuclear correlation data on computer-assisted structure elucidation

Organic & biomolecular chemistry, 2014-12, Vol.12 (47), p.9505-9509

2014

Volltextzugriff (PDF)

Technology of Automated Application of Glue on Film Scale

Polymer science. Series D, Glues and sealing materials, 2023-09, Vol.16 (3), p.694-700

2023

Volltextzugriff (PDF)

1 – 25 von 104

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(76)
Mit Volltextzugriff
(66)

Publikationsform

Sprache

Englisch
(95)
Russisch
(11)

Erscheinungsjahr

n.n

Thema

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

The Effect of Splitting of Raw Data into Training and Test Subsets on the Accuracy of Predicting Spatial Distribution by a Multilayer Perceptron

Counter-prediction approach to predict the missing values of a spatial series on the example of the dustiness in the snow cover

Atmospheric Air Dust Concentration, Composition And Size Distribution Data At Breathing Heights In Yekaterinburg

Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals

High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging

The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil

MODELING OF THE SPATIAL DISTRIBUTION OF CHROME AND MANGANESE IN SOIL: SELECTION OF A TRAINING SUBSET

About data separation for the artificial neural network training to predict the spatial distribution of the chemical element in the soil

A hybrid method for assessment of soil pollutants spatial distribution

Review and possible development direction of the methods for modeling of soil pollutants spatial distribution

The results of the retrieval of average atmospheric methane fields from summer ground-based measurements on Bely Island in 2016 and 2017

Particulate matter size distribution in air surface layer of Middle Ural and Arctic territories

Recovery of average effective methane concentration field in the region of Kara and Barents Seas using a passive location of the atmosphere by wind

Modeling of surface dust concentration in snow cover at industrial area using neural networks and kriging

Estimation of the Spatial Distribution of Methane Concentration in the Area of the Barents and Kara Seas in Summer in 2016–2017

Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic

Prediction of the chrome distribution in subarctic Noyabrsk using co-kriging, generalized regression neural network, multilayer perceptron, and hybrid technics

High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging

Estimation of the Spatial Distribution of Methane Concentrationin the Area of the Barents and Kara Seasin Summer in 2016–2017

COMPARATIVE ANALYSIS OF DATA SPLITTING ALGORITHMS FOR TRAINING ARTIFICIAL NEURAL NETWORKS IN MODELING THE SPATIAL DISTRIBUTION OF HEAVY METALS IN THE TOPSOIL

VERTICAL DISTRIBUTION OF DUST CHARACTERISTICS OF THE ATMOSPHERIC SURFACE LAYER IN EKATERINBURG

Two-step combined algorithm for improving the accuracy of predicting methane concentration in atmospheric air based on the NARX neural network and subsequent prediction of residuals

Rapid Evolution of a Fragment-like Molecule to Pan-Metallo-Beta-Lactamase Inhibitors: Initial Leads toward Clinical Candidates

The impact of LR-HSQMBC very long-range heteronuclear correlation data on computer-assisted structure elucidation

Technology of Automated Application of Glue on Film Scale

Suchergebnisse filtern