Random Forest Classifier Algorithm of Geographic Resources Analysis Support System Geographic Information System for Satellite Image Processing: Case Study of …
P Lemenkova - Coasts, 2024 - mdpi.com
Mapping coastal regions is important for environmental assessment and for monitoring
spatio-temporal changes. Although traditional cartographic methods using a geographic …
spatio-temporal changes. Although traditional cartographic methods using a geographic …
Integrating deep learning, satellite image processing, and spatial-temporal analysis for urban flood prediction
Urban flooding is escalating worldwide due to the increasing impervious surfaces from
urban developments and frequency of extreme rainfall events by climate change. Traditional …
urban developments and frequency of extreme rainfall events by climate change. Traditional …
UAV-Based DEM Augmentation Using ConSinGAN for Efficient Flood Parameter Prediction with Machine Learning and 1D Hydrodynamic Models
Flooding disasters have a significant financial impact on metropolitan regions, highlighting
the critical need for accurate flood prediction methods. This study addresses the problem of …
the critical need for accurate flood prediction methods. This study addresses the problem of …
Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran
In developing countries like Iran, where information is scarce, understanding the spatial
variability of soil available phosphorous (SAP), one of the three major nutrients, is crucial for …
variability of soil available phosphorous (SAP), one of the three major nutrients, is crucial for …
Machine learning-based potential loss assessment of maize and rice production due to flash flood in Himachal Pradesh, India
S Koley, SN Kumar - Environmental Monitoring and Assessment, 2024 - Springer
Flash floods in mountainous regions like the Himalayas are considered to be common
natural calamities. Their consequences often are more dangerous than any flood event in …
natural calamities. Their consequences often are more dangerous than any flood event in …
Leveraging Sentinel-2 and Geographical Information Systems in Mapping Flooded Regions around the Sesia River, Piedmont, Italy
GP Petropoulos, A Georgiadi, K Kalogeropoulos - GeoHazards, 2024 - mdpi.com
Sentinel-2 data are crucial in mapping flooded areas as they provide high spatial and
spectral resolution but under cloud-free weather conditions. In the present study, we aimed …
spectral resolution but under cloud-free weather conditions. In the present study, we aimed …
Razvoj i evaluacija modela zasnovanog na veštačkoj inteligenciji za prepoznavanje slova srpskog znakovnog jezika
M Radaković - Универзитет Сингидунум, 2024 - nardus.mpn.gov.rs
Primenom veštačke inteligencije ostvaruju se raznolike i brojne koristi koje su već
implementirane u raznim sektorima. Međutim, efikasnost tih rešenja, kao i vreme potrebno …
implementirane u raznim sektorima. Međutim, efikasnost tih rešenja, kao i vreme potrebno …
Rapid Monitoring for Flood Inundation Detection-Based Sentinel-1 SAR Image Data and Exposure Assessment in Urban Building Area: Makassar City, Indonesia
D Sekarjati, M Hanif, SA Komala, EA Giofandi… - International Conference …, 2023 - Springer
Real-time monitoring remains a challenge in providing accurate information, especially in
the case of urban flood inundation disasters. The accuracy of data for disaster risk reduction …
the case of urban flood inundation disasters. The accuracy of data for disaster risk reduction …
[PDF][PDF] Advancing Science, Technology, and Engineering through Sustainable Nanotechnology
The pursuit of sustainable practices within the realm of nanotechnology offers innovative
solutions to multifaceted global challenges. This paper delves into the transformative …
solutions to multifaceted global challenges. This paper delves into the transformative …