[HTML][HTML] Flood susceptibility map** using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
Flood has long been known as one of the most catastrophic natural hazards worldwide.
Map** flood-prone areas is an important part of flood disaster management. In this study …
Map** flood-prone areas is an important part of flood disaster management. In this study …
A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India
Abstract In the Sub-Himalayan foothills region of eastern India, floods are considered the
most powerful annually occurring natural disaster, which cause severe losses to the socio …
most powerful annually occurring natural disaster, which cause severe losses to the socio …
[HTML][HTML] Flash flood detection and susceptibility map** in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a …
Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …
have heightened global concerns in light of climate change. Flood susceptibility modeling is …
Spatio-temporal modeling of PM2. 5 risk map** using three machine learning algorithms
Urban air pollution is one of the most critical issues that affect the environment, community
health, economy, and management of urban areas. From a public health perspective, PM …
health, economy, and management of urban areas. From a public health perspective, PM …
Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility map** using radar satellite imagery
Floods are the natural disaster that occurs most frequently due to the weather and causes
the most widespread destruction. The purpose of the proposed research is to analyze flood …
the most widespread destruction. The purpose of the proposed research is to analyze flood …
Correct and remap solar radiation and photovoltaic power in China based on machine learning models
F Liu, X Wang, F Sun, H Wang - Applied Energy, 2022 - Elsevier
Accurate estimation of surface solar radiation (SSR) is crucial for photovoltaic (PV) systems
design and solar PV power plants site selection. However, the SSR observations often suffer …
design and solar PV power plants site selection. However, the SSR observations often suffer …
Driver drowsiness modeling based on spatial factors and electroencephalography using machine learning methods: A simulator study
F Farhangi, A Sadegh-Niaraki… - … research part F: traffic …, 2023 - Elsevier
Driver drowsiness is one of the leading causes of fatal road traffic accidents (RTA). While
studies have illustrated the effectiveness of spatial criteria on driver drowsiness, the effects …
studies have illustrated the effectiveness of spatial criteria on driver drowsiness, the effects …
Urban restaurants and online food delivery during the COVID-19 pandemic: a spatial and socio-demographic analysis
In this research, we analyzed the delivery service areas of restaurants, customer satisfaction,
and restaurant sales of urban restaurants during the COVID-19 pandemic. We obtained the …
and restaurant sales of urban restaurants during the COVID-19 pandemic. We obtained the …
Improving flood-prone areas map** using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms
Flooding presents substantial dangers to human lives and infrastructure, underscoring the
need to map flood-prone areas to implement effective mitigation measures precisely …
need to map flood-prone areas to implement effective mitigation measures precisely …
A spatially based machine learning algorithm for potential map** of the hearing senses in an urban environment
M Farahani, SV Razavi-Termeh… - Sustainable Cities and …, 2022 - Elsevier
Map** individuals' sense of hearing in the urban environment helps urban managers and
planners accomplish goals such as creating a favorable urban environment for the citizens …
planners accomplish goals such as creating a favorable urban environment for the citizens …