Machine Learning Outperforms Classic Statistics in Mapping Deadly Himalayan Landslide Risk
A new study along a landslide-ravaged stretch of National Highway 7 in Uttarakhand shows that Random Forest and XGBoost machine ...
A new study along a landslide-ravaged stretch of National Highway 7 in Uttarakhand shows that Random Forest and XGBoost machine ...
A new 1-kilometer-resolution map shows permafrost on the Qinghai-Tibet Plateau shrank by 48,000 square kilometers between 2010 and 2020, with ...
A new study in Nigeria's Guinea Savanna shows that machine learning algorithms, led by Cubist, dramatically outperform traditional Ordinary Kriging ...
A two-decade satellite and machine learning study shows Chennai's urban heat island intensity doubled as built-up area surged by more ...
A 26-year analysis shows that upstream Everglades groundwater is driven by managed freshwater flows while coastal aquifers increasingly answer to ...
A factorial ANOVA study across five Iranian basins shows that the most important machine learning modeling decision for precipitation prediction ...
Researchers at the University of Port Harcourt combined Random Forest, LSTM, Prophet, and XGBoost stacking with DeepSeek-R1 cognitive analysis to ...
High-resolution mapping in a subtropical Chinese forest reveals that patchy soil sodium is a dominant, previously overlooked driver of tree ...
A survey of 1,026 university students in Somaliland combined with machine learning reveals that behavioral habits and ICT training, not ...
A new machine-learning study maps Komodo dragon habitat suitability and wildfire risk across Komodo National Park, revealing that five percent ...
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© 2025 Scienmag - Science Magazine