Foundation models for generalist medical artificial intelligence
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
Google Earth Engine and artificial intelligence (AI): a comprehensive review
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …
global climate change, risk assessment and vulnerability reduction of natural hazards …
Comparison of land use land cover classifiers using different satellite imagery and machine learning techniques
Accurate land use land cover (LULC) classification is vital for the sustainable management
of natural resources and to learn how the landscape is changing due to climate. For …
of natural resources and to learn how the landscape is changing due to climate. For …
Analysis of land use and land cover using machine learning algorithms on google earth engine for Munneru River Basin, India
The growing human population accelerates alterations in land use and land cover (LULC)
over time, putting tremendous strain on natural resources. Monitoring and assessing LULC …
over time, putting tremendous strain on natural resources. Monitoring and assessing LULC …
A systematic review of applications of machine learning techniques for wildfire management decision support
Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …
Monitoring of dynamic wetland changes using NDVI and NDWI based landsat imagery
Recent initiatives using the GIS tools for map** and analysis of wetland dynamics bring
the hope for an effective wetland management. Degraded or modified wetlands are more …
the hope for an effective wetland management. Degraded or modified wetlands are more …
Forest fire susceptibility map** with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
In the hilly region of the Western Himalayas, forest fires play a crucial role in forest
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Forest fires caused by natural causes such as climate change, temperature increase,
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
Investigation of fire risk zones using heat–humidity time series data and vegetation
Forest fires destroy these areas and have devastating and harmful socio-economic and
environmental effects. One of the methods of preventing and managing the hazards created …
environmental effects. One of the methods of preventing and managing the hazards created …
Greening and browning trends of vegetation in India and their responses to climatic and non-climatic drivers
It is imperative to know the spatial distribution of vegetation trends in India and its responses
to both climatic and non-climatic drivers because many ecoregions are vulnerable to global …
to both climatic and non-climatic drivers because many ecoregions are vulnerable to global …