机译:使用随机森林模型预测每日城市细颗粒物浓度
Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio 45229, United States,Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio 45267, United States;
Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio 45267, United States;
Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio 45229, United States;
Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio 45229, United States,Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio 45267, United States,Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio 45267, United States;
机译:评估高污染城市中室内细颗粒物浓度的随机森林回归和多元线性回归评估
机译:估算蒙特利尔细颗粒物每日浓度的时空模型:采用外部漂移和距离反比加权法的克里金法
机译:人工神经网络模型可预测阿尔及尔的每日细颗粒物浓度
机译:模拟交通条件对城市干道中段路边细颗粒物浓度变化的影响
机译:土地使用回归模型,用于预测整个洛杉矶的环境细颗粒物浓度。
机译:东南亚森林火灾对新加坡环境颗粒物质浓度的影响:一种使用随机森林的生态学研究和载体自回归模型
机译:环境空气中细颗粒物质浓度变化的短期效应,城市 - 工业集聚居民每日心脏呼吸死亡率(Katowice Conglomeration),波兰