A novel hybrid soft computing model using random forest and particle swarm optimization for estimation of undrained shear strength of soil
Determination of shear strength of soil is very important in civil engineering for foundation
design, earth and rock fill dam design, highway and airfield design, stability of slopes and …
design, earth and rock fill dam design, highway and airfield design, stability of slopes and …
Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms
Flood is considered as the most devastating natural hazards that cause the death of many
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …
Flash flood hazard mapping using remote sensing and GIS techniques in southwestern Saudi Arabia
SS Alarifi, M Abdelkareem, F Abdalla, M Alotaibi - Sustainability, 2022 - mdpi.com
Flash flooding is one of the most significant natural disasters in arid/hyperarid regions and
causes vast property damage and a large number of deaths. For mitigating and reducing …
causes vast property damage and a large number of deaths. For mitigating and reducing …
Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques
S Saravanan, D Abijith - Geocarto International, 2022 - Taylor & Francis
Flooding is one of the most challenging and important natural disasters to predict, it is
becoming more frequent and more intense. The study area is badly damaged by devastating …
becoming more frequent and more intense. The study area is badly damaged by devastating …
[HTML][HTML] Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models
The flood hazard management is one of the major challenges in the floodplain regions
worldwide. With the rise in population growth and the spread of infrastructural development …
worldwide. With the rise in population growth and the spread of infrastructural development …
Assessment analysis of flood susceptibility in tropical desert area: a case study of Yemen
AR Al-Aizari, YA Al-Masnay, A Aydda, J Zhang… - Remote Sensing, 2022 - mdpi.com
Flooding is one of the catastrophic natural hazards worldwide that can easily cause
devastating effects on human life and property. Remote sensing devices are becoming …
devastating effects on human life and property. Remote sensing devices are becoming …
Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods
S Sachdeva, B Kumar - Ecological Informatics, 2022 - Elsevier
The year 2020 proved disastrous for the north eastern state of India, Assam. The state
witnessed terrible floods in the midst of the pandemic. The current study aims to better …
witnessed terrible floods in the midst of the pandemic. The current study aims to better …
Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United …
This study proposes a novel flash flood susceptibility prediction framework with a particular
emphasis on the extent of imbalance between the number of flooding and non-flooding …
emphasis on the extent of imbalance between the number of flooding and non-flooding …
Application of advanced machine learning algorithms to assess groundwater potential using remote sensing-derived data
Groundwater (GW) is being uncontrollably exploited in various parts of the world resulting
from huge needs for water supply as an outcome of population growth and industrialization …
from huge needs for water supply as an outcome of population growth and industrialization …
Investigation and optimization of the C-ANN structure in predicting the compressive strength of foamed concrete
DV Dao, HB Ly, HLT Vu, TT Le, BT Pham - Materials, 2020 - mdpi.com
Development of Foamed Concrete (FC) and incessant increases in fabrication technology
have paved the way for many promising civil engineering applications. Nevertheless, the …
have paved the way for many promising civil engineering applications. Nevertheless, the …