Cargando…

A Spatial–Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM(2.5) Concentration Prediction

Accurate and fine-grained prediction of PM(2.5) concentration is of great significance for air quality control and human physical and mental health. Traditional approaches, such as time series, recurrent neural networks (RNNs) or graph convolutional networks (GCNs), cannot effectively integrate spat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lin, Shaofu, Zhao, Junjie, Li, Jianqiang, Liu, Xiliang, Zhang, Yumin, Wang, Shaohua, Mei, Qiang, Chen, Zhuodong, Gao, Yuyao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407057/ https://www.ncbi.nlm.nih.gov/pubmed/36010788 http://dx.doi.org/10.3390/e24081125

Ejemplares similares

Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery
por: Kattenborn, Teja, et al.
Publicado: (2019)

Fine-grained classification based on multi-scale pyramid convolution networks
por: Wang, Gaihua, et al.
Publicado: (2021)

Spatial-temporal patterns of ambient fine particulate matter (PM(2.5)) and black carbon (BC) pollution in Accra
por: Alli, Abosede S, et al.
Publicado: (2021)

Preparation of a PM(2.5)-like reference material in sufficient quantities for accurate monitoring of anions and cations in fine atmospheric dust
por: Charoud-Got, Jean, et al.
Publicado: (2017)

Impact of long-term temporal trends in fine particulate matter (PM(2.5)) on associations of annual PM(2.5) exposure and mortality: An analysis of over 20 million Medicare beneficiaries
por: Eum, Ki-Do, et al.
Publicado: (2018)

Fine-Grained Breast Cancer Classification With Bilinear Convolutional Neural Networks (BCNNs)
por: Liu, Weihuang, et al.
Publicado: (2020)

PM10 and PM2.5 real-time prediction models using an interpolated convolutional neural network
por: Chae, Sangwon, et al.
Publicado: (2021)

Reply to Künzli and Tager Regarding Causality in PM(2.5) Cohort Studies
por: Gamble, John
Publicado: (1999)

The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China
por: Yang, Hongmei, et al.
Publicado: (2020)

Accurate Sybil Attack Detection Based on Fine-Grained Physical Channel Information
por: Wang, Chundong, et al.
Publicado: (2018)

Fine particulate matter (PM(2.5)) in China at a city level
por: Zhang, Yan-Lin, et al.
Publicado: (2015)

Network Analysis of Fine Particulate Matter (PM(2.5)) Emissions in China
por: Yan, Shaomin, et al.
Publicado: (2016)

Causal relationship between particulate matter 2.5 (PM(2.5)), PM(2.5) absorbance, and COVID-19 risk: A two-sample Mendelian randomisation study
por: Liu, Chenxi, et al.
Publicado: (2023)

A fast and accurate identification model for Rhinolophus bats based on fine-grained information
por: Cao, Zhong, et al.
Publicado: (2023)

Temporal and Fine-Grained Pedestrian Action Recognition on Driving Recorder Database
por: Kataoka, Hirokatsu, et al.
Publicado: (2018)

PM(2.5) in Beijing – temporal pattern and its association with influenza
por: Liang, Yijia, et al.
Publicado: (2014)

Effects of Ambient Fine Particles PM(2.5) on Human HaCaT Cells
por: Li, Qiao, et al.
Publicado: (2017)

Fine particulate matter (PM(2.5)): The culprit for chronic lung diseases in China
por: Li, Tao, et al.
Publicado: (2018)

Avoidable Mortality Attributable to Anthropogenic Fine Particulate Matter (PM(2.5)) in Australia
por: Hanigan, Ivan C., et al.
Publicado: (2020)

Chronic exposure to fine particles (PM(2.5)) and mortality: Evidence from Chile
por: Busch, Pablo, et al.
Publicado: (2023)

Elemental Composition and Sources of Fine Particulate Matter (PM(2.5)) in Delhi, India
por: Sharma, S. K., et al.
Publicado: (2023)

Estimating Causal Effects of Long-Term PM(2.5) Exposure on Mortality in New Jersey
por: Wang, Yan, et al.
Publicado: (2016)

Causal Effects of Prenatal Exposure to PM(2.5) on Child Development and the Role of Unobserved Confounding
por: Tozzi, Viola, et al.
Publicado: (2019)

Causal Associations of PM2.5 and GDM: A Two-Sample Mendelian Randomization Study
por: Yang, Yi, et al.
Publicado: (2023)

Large-Scale, Fine-Grained, Spatial, and Temporal Analysis, and Prediction of Mobile Phone Users’ Distributions Based upon a Convolution Long Short-Term Model
por: Zhang, Guangyuan, et al.
Publicado: (2019)

Modeling fine-grained spatio-temporal pollution maps with low-cost sensors
por: Iyer, Shiva R., et al.
Publicado: (2022)

Spatial and Temporal Distribution of PM(2.5) Pollution in Xi’an City, China
por: Huang, Ping, et al.
Publicado: (2015)

Spatially and Temporally Resolved Ambient PM(2.5) in Relation to Preterm Birth
por: Cowell, Whitney, et al.
Publicado: (2021)

Spatial Autocorrelation and Temporal Convergence of PM(2.5) Concentrations in Chinese Cities
por: Wang, Huan, et al.
Publicado: (2022)

Increasing impact of urban fine particles (PM(2.5)) on areas surrounding Chinese cities
por: Han, Lijian, et al.
Publicado: (2015)

Fine particulate (PM(2.5)) dynamics during rapid urbanization in Beijing, 1973–2013
por: Han, Lijian, et al.
Publicado: (2016)

Effect of Fine Particulate Matter (PM(2.5)) on Rat Placenta Pathology and Perinatal Outcomes
por: Liu, Yi, et al.
Publicado: (2016)

PM(2.5), Fine Particulate Matter: A Novel Player in the Epithelial-Mesenchymal Transition?
por: Xu, Zihan, et al.
Publicado: (2019)

Characteristics of fine particulate matter (PM(2.5)) at Jinsha Site Museum, Chengdu, China
por: Deng, Jialin, et al.
Publicado: (2021)

A review of respirable fine particulate matter (PM(2.5))-induced brain damage
por: Li, Wei, et al.
Publicado: (2022)

Study of a Fine Grained Threaded Framework Design
por: Jones, Christopher
Publicado: (2012)

A Fine-Grained Image Classification and Detection Method Based on Convolutional Neural Network Fused with Attention Mechanism
por: Zhang, Yue
Publicado: (2022)

Short period PM(2.5) prediction based on multivariate linear regression model
por: Zhao, Rui, et al.
Publicado: (2018)

Impact of Fine Particulate Matter (PM(2.5)) Exposure During Wildfires on Cardiovascular Health Outcomes
por: Haikerwal, Anjali, et al.
Publicado: (2015)

Diurnal variation in the proinflammatory activity of urban fine particulate matter (PM (2.5)) by in vitro assays
por: Lovett, Christopher, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_ugnsb1dotvgc9teu1d467l8o7h