Surface PM2.5 concentrations have significant implications for human health, necessitating accurate estimations. This study compares various machine learning models, including...

DASH Search40

Multiple machine learning models unveil the drivers of winter PM2.5 pollution in the Yangtze River Delta during 2016−2024

大气污染分析

机器学习环境应用

The original data and code used for the study "Multiple machine learning models unveil the drivers of winter PM2.5 pollution in the Yangtze River Delta during 2016−2024"

Mendeley Data20

Machine Learning Code for Assessing Flood Susceptibility

洪水易发性

机器学习环境应用

The code for assessing flood susceptibility using four machine learning algorithms (RF, XGBoost, CNN, LSTM).

DataCite Commons2026-01-15 更新50

Course Materials for Environmental Data Science in R: Introduction to Data Integration and Machine Learning (ENV 730)

环境数据集成

机器学习环境应用

In today's world, understanding environmental data and making informed decisions based on it is crucial for addressing complex environmental challenges. Yale School of the Environment's Environmental

DataCite Commons2025-07-21 更新20

Advancing Environmental Impact Assessments

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