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...

Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran

Computers and electronics in agriculture, 2019-09, Vol.164, p.104929, Article 104929

2019

Volltextzugriff (PDF)

Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study

Geotechnical and geological engineering, 2017-12, Vol.35 (6), p.2597-2611

2017

Volltextzugriff (PDF)

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

Sensors (Basel, Switzerland), 2018-11, Vol.18 (11), p.3777

2018

Volltextzugriff (PDF)

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

Environmental earth sciences, 2016-07, Vol.75 (14), p.1, Article 1101

2016

Volltextzugriff (PDF)

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (13), p.1589

2019

Volltextzugriff (PDF)

Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms

Sustainability, 2019-08, Vol.11 (16), p.4386

2019

Volltextzugriff (PDF)

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

International journal of environmental research and public health, 2020-04, Vol.17 (8), p.2749

2020

Volltextzugriff (PDF)

A Comparative Study of Least Square Support Vector Machines and Multiclass Alternating Decision Trees for Spatial Prediction of Rainfall-Induced Landslides in a Tropical Cyclones Area

Geotechnical and geological engineering, 2016-12, Vol.34 (6), p.1807-1824

2016

Volltextzugriff (PDF)

Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (6), p.618

2019

Volltextzugriff (PDF)

Inferring air pollution from air quality index by different geographical areas: case study in India

Air quality, atmosphere and health, 2019-11, Vol.12 (11), p.1347-1357

2019

Volltextzugriff (PDF)

Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1422

2020

Volltextzugriff (PDF)

Capital Investment in Tourism: A Global Investigation

Tourism planning & development, 2023-09, Vol.20 (5), p.805-831

2023

Volltextzugriff (PDF)

Evaluating Slope Deformation of Earth Dams Due to Earthquake Shaking Using MARS and GMDH Techniques

Applied sciences, 2020-02, Vol.10 (4), p.1486

2020

Volltextzugriff (PDF)

Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

Materials, 2019-06, Vol.12 (11), p.1828

2019

Volltextzugriff (PDF)

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

Applied sciences, 2020-03, Vol.10 (6), p.2039

2020

Volltextzugriff (PDF)

Using Susceptible-Exposed-Infectious-Recovered Model to Forecast Coronavirus Outbreak

Computers, materials & continua, 2021, Vol.67 (2), p.1595-1612

2021

Volltextzugriff (PDF)

Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

Geomorphology (Amsterdam, Netherlands), 2018-02, Vol.303, p.256-270

2018

Volltextzugriff (PDF)

Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

Applied sciences, 2020-03, Vol.10 (5), p.1691

2020

Volltextzugriff (PDF)

Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model

Advances in Civil Engineering, 2019, Vol.2019 (2019), p.1-7

2019

Volltextzugriff (PDF)

Effects of Inter-Basin Water Transfer on Water Flow Condition of Destination Basin

Sustainability, 2020-01, Vol.12 (1), p.338

2020

Volltextzugriff (PDF)

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

Bulletin of engineering geology and the environment, 2019-06, Vol.78 (4), p.2865-2886

2019

Volltextzugriff (PDF)

Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations

Applied sciences, 2020-03, Vol.10 (5), p.1761

2020

Volltextzugriff (PDF)

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

Soil dynamics and earthquake engineering (1984), 2020-12, Vol.139, p.106390, Article 106390

2020

Volltextzugriff (PDF)

A novel hybrid artificial intelligence approach for flood susceptibility assessment

Environmental modelling & software : with environment data news, 2017-09, Vol.95, p.229-245

2017

Volltextzugriff (PDF)

Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS

Catena (Giessen), 2017-02, Vol.149, p.52-63

2017

Volltextzugriff (PDF)

1 – 25 von 573

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(370)
Mit Volltextzugriff
(425)

Publikationsform

1 weiteren anzeigen...

Weniger anzeigen...

Sprache

Erscheinungsjahr

n.n

Thema

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran

Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

A Comparative Study of Least Square Support Vector Machines and Multiclass Alternating Decision Trees for Spatial Prediction of Rainfall-Induced Landslides in a Tropical Cyclones Area

Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics

Inferring air pollution from air quality index by different geographical areas: case study in India

Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential

Capital Investment in Tourism: A Global Investigation

Evaluating Slope Deformation of Earth Dams Due to Earthquake Shaking Using MARS and GMDH Techniques

Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

Using Susceptible-Exposed-Infectious-Recovered Model to Forecast Coronavirus Outbreak

Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model

Effects of Inter-Basin Water Transfer on Water Flow Condition of Destination Basin

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

A novel hybrid artificial intelligence approach for flood susceptibility assessment

Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS

Suchergebnisse filtern