Flood subsidence susceptibility mapping using elastic-net classifier: new approach
In light of recent improvements in flood susceptibility mapping using machine learning
models, there remains a lack of research focusing on employing ensemble algorithms like …
models, there remains a lack of research focusing on employing ensemble algorithms like …
GIS-based spatial modeling of snow avalanches using four novel ensemble models
Snow avalanches can destroy lives and infrastructure and are very important phenomena in
some regions of the world. This study maps snow avalanche susceptibility in Sirvan …
some regions of the world. This study maps snow avalanche susceptibility in Sirvan …
Fusion of remote sensing data using GIS-based AHP-weighted overlay techniques for groundwater sustainability in arid regions
Remote sensing and GIS approaches have provided valuable information on modeling
water resources, particularly in arid regions. The Sahara of North Africa, which is one of the …
water resources, particularly in arid regions. The Sahara of North Africa, which is one of the …
Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
HD Nguyen - Journal of Water and Climate Change, 2023 - iwaponline.com
The objective of this study was the development of an approach based on machine learning
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …
Flood hazard assessment in Yemen using a novel hybrid approach of Grey Wolf and Levenberg Marquardt optimizers
This study aims to map flood susceptibility in the Qaa'Jahran watersheds located in Dhamar,
Yemen, using geoprocessing and computational techniques. Historical flood data and SAR …
Yemen, using geoprocessing and computational techniques. Historical flood data and SAR …
GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam
Recently, floods are occurring more frequently every year around the world due to increased
anthropogenic activities and climate change. There is a need to develop accurate models for …
anthropogenic activities and climate change. There is a need to develop accurate models for …
Damming effect on habitat quality of riparian corridor
S Pal, S Talukdar, R Ghosh - Ecological Indicators, 2020 - Elsevier
Riparian corridor, a vital ecotonian ecosystem is under stress due to flow reduction and
inconsistency of flow in Lower Tangon river basin across the neo tectonically active Barind …
inconsistency of flow in Lower Tangon river basin across the neo tectonically active Barind …
Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network
Floods are considered one of the most destructive natural hydro-meteorological disasters
across the world. The present study attempts to assess flood susceptibility of the …
across the world. The present study attempts to assess flood susceptibility of the …
Arabic document classification: performance investigation of preprocessing and representation techniques
With the increasing number of online social posts, review comments, and digital
documentations, the Arabic text classification (ATC) task has been hugely required for many …
documentations, the Arabic text classification (ATC) task has been hugely required for many …
Predicting future urban flood risk using land change and hydraulic modeling in a river watershed in the central Province of Vietnam
Flood risk is a significant challenge for sustainable spatial planning, particularly concerning
climate change and urbanization. Phrasing suitable land planning strategies requires …
climate change and urbanization. Phrasing suitable land planning strategies requires …