官方服务：
资源简介：
Tomorrow's Cities
应用场景：
相关数据集
利用零膨胀神经网络预测龙卷风造成的财产损失数据集
该数据集包含美国人口普查局、国家土地覆盖数据库和风暴事件数据库数据的工作版本。cb_2015_us_county_5m表示美国县级行政区划详细信息的地理和气象数据集。cb_2015_us_nation_5m表示整个美国行政区划详细信息的地理和气象数据集。StormEvents_details-ftp_v1.0_d1950_c20170120.csv表示美国风暴事件详细信息的地理和气象数据集。nlc
国家对地观测科学数据中心2024-11-15 更新110
Efficient injury risk predictions for a diverse population using parametric human modeling and inducing points in Gaussian processes
The objective of this study is to use parametric human modeling and machine learning methods to identify representative occupants that can account for injury variations among a more diverse population
DataCite Commons2025-01-06 更新50
Advanced AI Techniques for Landslide Susceptibility Mapping and Spatial Prediction: A Case Study in Medellín, Colombia
Landslides, a global phenomenon, significantly impact economies and societies, especially in densely populated areas. Effective mitigation requires awareness of landslide risks, yet temporal links bet
Zenodo2025-01-20 更新20
Total disaster risk management budget Japan FY 2015-2025
Total disaster risk management budget in Japan from fiscal year 2015 to 2025 (in trillion Japanese yen)
Statista80
Dataset in the paper " From Model Optimization to Risk Representation: A Deep Learning Framework for Spatiotemporal Prediction of Mining-Induced Surface Deformation "
Surface deformation induced by natural resource extraction poses severe threats to both the environment and infrastructure. Spatiotemporal prediction using Interferometric Synthetic Aperture Radar (In
NIAID Data Ecosystem20
