4.6 Article

Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping

Related references

Note: Only part of the references are listed.
Article Engineering, Environmental

Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration

Romulus Costache

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2019)

Article Environmental Sciences

Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis

Mahfuzur Rahman et al.

EARTH SYSTEMS AND ENVIRONMENT (2019)

Article Environmental Sciences

Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India

Sumit Das

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2019)

Article Computer Science, Artificial Intelligence

Optimal approximation of piecewise smooth functions using deep ReLU neural networks

Philipp Petersen et al.

NEURAL NETWORKS (2018)

Article Geosciences, Multidisciplinary

Modified Flash Flood Potential Index in order to estimate areas with predisposition to water accumulation

Roxana Tincu et al.

OPEN GEOSCIENCES (2018)

Article Computer Science, Interdisciplinary Applications

A novel hybrid artificial intelligence approach for flood susceptibility assessment

Kamran Chapi et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2017)

Article Computer Science, Artificial Intelligence

Error bounds for approximations with deep ReLU networks

Dmitry Yarotsky

NEURAL NETWORKS (2017)

Article Geography, Physical

Modeling of terracette-hillslope soil moisture as a function of aspect, slope and vegetation in a semi-arid environment

Mark V. Corrao et al.

EARTH SURFACE PROCESSES AND LANDFORMS (2017)

Article Water Resources

Geomorphic classifiers for flood-prone areas delineation for data-scarce environments

Caterina Samela et al.

ADVANCES IN WATER RESOURCES (2017)

Article Geosciences, Multidisciplinary

Landslide Susceptibility Mapping Using Analytical Hierarchy Process (AHP) in Tehri Reservoir Rim Region, Uttarakhand

Rohan Kumar et al.

JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA (2016)

Article Geosciences, Multidisciplinary

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

Mahyat Shafapour Tehrany et al.

CATENA (2015)

Article Geosciences, Multidisciplinary

Assessment and mapping of flood potential in the Slănic catchment in Romania

LILIANA ZAHARIA et al.

Journal of Earth System Science (2015)

Review Computer Science, Artificial Intelligence

Deep learning in neural networks: An overview

Juergen Schmidhuber

NEURAL NETWORKS (2015)

Article Computer Science, Interdisciplinary Applications

Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

Yousef Razandi et al.

EARTH SCIENCE INFORMATICS (2015)

Article Engineering, Civil

Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping

G. Papaioannou et al.

WATER RESOURCES MANAGEMENT (2015)

Article Engineering, Civil

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

Mahyat Shafapour Tehrany et al.

JOURNAL OF HYDROLOGY (2014)

Article Geosciences, Multidisciplinary

Assessment of surface runoff depth changes in Saratel River basin, Romania using GIS techniques

Romulus Costache et al.

CENTRAL EUROPEAN JOURNAL OF GEOSCIENCES (2014)

Article Geography, Physical

Application of the topographic position index to heterogeneous landscapes

Jeroen De Reu et al.

GEOMORPHOLOGY (2013)

Article Geosciences, Multidisciplinary

Assessment of the flash flood potential of BA¢sca River Catchment (Romania) based on physiographic factors

Gabriel Minea

CENTRAL EUROPEAN JOURNAL OF GEOSCIENCES (2013)

Review Public, Environmental & Occupational Health

A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior

P. Bubeck et al.

RISK ANALYSIS (2012)