Spatiotemporal assessment of urban PM₁₀ and population exposure using integrated satellite, meteorological, and socio-spatial data
结合卫星、气象和社会空间数据评估城市PM10浓度及人口暴露,构建综合暴露指数。
Evaluating the Influence of Landscape Structure on PM2.5 Variability: A Geospatial-remote Sensing Big Data Perspective
利用地理空间与遥感大数据,评估景观结构对PM2.5变化的影响。
Temporal forecasting of PM$$_{2.5}$$, PM$$_{10}$$, NO$$_2$$ using deep learning models on Noida Sector 125 and Noida Sector 62
用CNN、RNN、LSTM、GRU、BiLSTM及混合BiLSTM-GRU对诺伊达两站点PM2.5、
Machine Learning for Surface Water Quality Management in Malaysia: Integrating Physicochemical Parameters, Nutrient Loads, Land Use, Hydrological Conditions, and Anthropogenic Pressure
构建马来西亚地表水质机器学习框架,融合多源环境数据实现分类、预测与污染事件检测。
Aerosol pollution and economic growth in Thailand with a machine learning analysis of the environmental Kuznets Curve
用机器学习验证泰国气溶胶污染与经济增长呈环境库兹涅茨曲线倒U型关系并预测至2050年。
Artificial intelligence for microplastic pollution monitoring, predictive modeling, and risk assessment: advances, challenges, and future perspectives
综述人工智能在微塑料污染监测、预测建模和风险评估中的应用、挑战与未来方向。
Next-Generation Exposure Assessment for Personalized Environmental Health: A Scoping Review of Knowledge Representation, Dynamic Modeling, and Artificial Intelligence Approaches
综述本体、知识图谱、ABM、LLM与智能体AI在环境暴露评估中的应用与空白。
Development of a city level nitrogen dioxide exposure (CLeNE) intelligence platform for West Africa
开发了西非城市级二氧化氮暴露智能平台,整合卫星与人口数据量化城市暴露负担。