Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …
solutions to decision-making problems based on survey or historical data about the …
Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations
HE Aydin, MC Iban - Natural Hazards, 2023 - Springer
In recent years, the number of floods around the world has increased. As a result, Flood
Susceptibility Maps (FSMs) became vital for flood prevention, risk mitigation, and decision …
Susceptibility Maps (FSMs) became vital for flood prevention, risk mitigation, and decision …
Review on the application of hyperspectral imaging technology of the exposed cortex in cerebral surgery
Y Wu, Z Xu, W Yang, Z Ning, H Dong - Frontiers in Bioengineering …, 2022 - frontiersin.org
The study of brain science is vital to human health. The application of hyperspectral imaging
in biomedical fields has grown dramatically in recent years due to their unique optical …
in biomedical fields has grown dramatically in recent years due to their unique optical …
Evaluation of remote sensing techniques-based water quality monitoring for sustainable hydrological applications: an integrated FWZIC-VIKOR modelling approach
Evaluating remote sensing techniques (RST)-based water quality monitoring systems in
hydrological applications is a complex multi-attribute decision-making (MADM) problem due …
hydrological applications is a complex multi-attribute decision-making (MADM) problem due …
Water body map** using long time series Sentinel-1 SAR data in Poyang Lake
G Shen, W Fu, H Guo, J Liao - Water, 2022 - mdpi.com
Map** water bodies with a high accuracy is necessary for water resource assessment,
and map** them rapidly is necessary for flood monitoring. Poyang Lake is the largest …
and map** them rapidly is necessary for flood monitoring. Poyang Lake is the largest …
Flash Flood Assessment and Management for Sustainable Development Using Geospatial Technology and WMS Models in Abha City, Aseer Region, Saudi Arabia
Abha city is distinguished by urbanization, infrastructure, deepening watercourses, and
changes in runoff flow which encourage flash floods in the urban zones of many villages in …
changes in runoff flow which encourage flash floods in the urban zones of many villages in …
F2BFE: development of feature-based building footprint extraction by remote sensing data and GEE
Monitoring the spatiotemporal dynamics of building footprints (BF) is necessary for
understanding urbanization growth. It is a difficult task to extract residential sites, mainly BF …
understanding urbanization growth. It is a difficult task to extract residential sites, mainly BF …
Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: A case study over the Andika and Behbahan …
For proper forest management, accurate detection and map** of burned areas are
needed, yet the practice is difficult to perform due to the lack of an appropriate method, time …
needed, yet the practice is difficult to perform due to the lack of an appropriate method, time …
Accurate surface water detection and map** using Remote Sensing (RS) imagery is
crucial for effective water and flood management and for supporting natural ecosystems and …
crucial for effective water and flood management and for supporting natural ecosystems and …
Floods stand out as one of the most expensive natural calamities, causing harm to both lives
and properties for millions of people globally. The increasing frequency and intensity of …
and properties for millions of people globally. The increasing frequency and intensity of …