Convolutional neural networks-based health risk modelling of some heavy metals in a soil-rice system

被引：0

作者：

Li, Panpan ^{[1
]}

Hao, Huijuan ^{[2
,3
]}

Bai, Yang ^{[4
]}

Li, Yuanyuan ^{[5
]}

Mao, Xiaoguang ^{[1
]}

Xu, Jianjun ^{[1
]}

Liu, Meng ^{[4
]}

Lv, Yuntao ^{[3
]}

Chen, Wanming ^{[3
]}

Ge, Dabing ^{[2
]}

机构：

[1] College of Computer, National University of Defense Technology, Changsha,410003, China

[2] College of Resources and Environment, Hunan Agricultural University, Changsha,410128, China

[3] Risk Assessment Laboratory for Environmental Factors of Agro-product Quality Safety (Changsha), Ministry of Agriculture and Rural Affairs, Changsha,410005, China

[4] General Hospital of Northern Theater Command, Shenyang,110000, China

[5] Hunan Pinbiao Huace Testing Technology Co., Ltd, Changsha,410100, China

来源：

Science of the Total Environment | 2022年 / 838卷

关键词：

Convolution - Forecasting - Health - Health risks - Metal analysis - Neural networks - Risk assessment - Sensitivity analysis - Spatial variables measurement - Sustainable development;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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