机译:统计技术,用于建立空气中的榛,Al木和桦花粉浓度
Space Informatics Lab, University of Cincinnati;
Institute of Geoecology and Geoinformation, Adam Mickiewicz University;
Department of Ecology and Environmental Biology, University of Rzeszów;
Faculty of Earth Sciences, University of Silesia;
Faculty of Earth Sciences, University of Silesia;
Laboratory of Aeropalynology, Faculty of Biology, Adam Mickiewicz University;
Department of Plant Ecology, University of Gdańsk;
Department of Plant Ecology, University of Gdańsk;
Department of Immunology, Rheumatology and Allergy, Faculty of Medicine, Medical University;
Department of Clinical and Environmental Allergology, Jagiellonian University Medical College;
Department of Botany, University of Life Sciences in Lublin;
Department of Botany, University of Life Sciences in Lublin;
Department of Botany and Nature Conservation, Faculty of Biology, University of Szczecin;
Allergen Research Center;
Department of Botany and Ecology, University of Science and Technology;
Allergenic pollen; Pollen concentration in the air; Betulaceae; Regression models; Predictive modeling; Machine learning;
机译:利用花粉数的时空相关特性预测海百合,Al和桦树花粉浓度水平的模型
机译:时空模型,用于预测花粉,yl和桦的高花粉浓度
机译:波兰Alnus,Betula和Corylus花粉日浓度的时间和时空自相关
机译:澳大利亚PIC型大厦空中细菌和内毒素浓度的统计建模
机译:表征危险性空气污染物排放,环境浓度和风险的不确定性的统计模型。
机译:利用花粉数的时空相关特性预测海百合Al和桦树花粉浓度水平的模型
机译:波兰Alnus,Betula和Corylus花粉日浓度的时间和时空自相关