Hybrid AI Model Reads Hyperspectral Images With Fewer Labels and Less Compute
Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms few-shot learning methods ...
Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms few-shot learning methods ...
A Random Forest model built on satellite fire records shows that nearly 30 percent of forest in Nepal's mountainous Rasuwa ...
A new global analysis shows that forest fragmentation raises land surface temperatures across most forest biomes, often mattering more for ...
A two-decade satellite analysis of 100 global cities shows that losing water bodies and expanding impervious surfaces amplify urban extreme ...
A solar-powered autonomous vessel equipped with AI has demonstrated near-real-time water quality monitoring across a 10-kilometer route in Brazil's Belo ...
A new study of Coimbatore, India, combining Landsat satellite data with the InVEST Urban Cooling Model, finds summer land surface ...
An eight-year satellite study of East Antarctica's Nivlisen Ice Shelf reveals meltwater rivers that swell, connect and vanish with the ...
Researchers have unveiled STAR-OV, a framework that protects deep learning models deployed on satellites through two-stage reversible parameter encryption, tiered ...
A four-decade study of China's Daihai Lake reveals that wetland loss driven by shifting climate, terrain, and human pressures has ...
A two-decade satellite analysis of Yalova, Türkiye, shows built-up land surging 138 percent and projects an elevenfold expansion of extreme ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine