AIMC Topic: Beijing

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A rainwater control optimization design approach for airports based on a self-organizing feature map neural network model.

PloS one Jan 21, 2020
To address the problems of high overflow rate of pipe network inspection well and low drainage efficiency, a rainwater control optimization design approach based on a self-organizing feature map neural network model (SOFM) was proposed in this paper....
Beijing Rain Water Movements Airports Neural Networks, Computer Models, Theoretical
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Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning.

PloS one May 30, 2019
Many studies have explored the relationship between housing prices and environmental characteristics using the hedonic price model (HPM). However, few studies have deeply examined the impact of scene perception near residential units on housing price...
Deep Learning China Cities Housing City Planning Commerce Beijing Humans
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Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

International journal of environmental health research Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Infant, Newborn Risk Factors Aged Aged, 80 and over Humans Female Weather Sex Factors Beijing Air Pollutants Particulate Matter China Environmental Exposure Adolescent Young Adult Child, Preschool Incidence Age Factors Adult Child Respiratory Tract Diseases Male Acute Disease Middle Aged Infant Deep Learning
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An ensemble long short-term memory neural network for hourly PM concentration forecasting.

Chemosphere Jan 25, 2019
To protect public health by providing an early warning, PM concentration forecasting is an essential and effective work. In this paper, an ensemble long short-term memory neural network (E-LSTM) is proposed for hourly PM concentration forecasting. Th...
Environmental Monitoring Particulate Matter Datasets as Topic Neural Networks, Computer Forecasting China Beijing
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Plasma and cerebrospinal fluid population pharmacokinetic modeling and simulation of meropenem after intravenous and intrathecal administration in postoperative neurosurgical patients.

Diagnostic microbiology and infectious disease Aug 17, 2018
Combined intravenous and local intrathecal administration of meropenem in patients after craniotomy is widely used to treat intracranial infections. However, the optimal dosing regimen of meropenem has not been investigated, posing a risk to treatmen...
Cerebrospinal Fluid Male Plasma Humans Neurosurgical Procedures Microbial Sensitivity Tests Administration, Inhalation Anti-Bacterial Agents Surgical Wound Infection Meropenem Time Factors Beijing Female Administration, Intravenous
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Maternal exposure to ambient PM during pregnancy increases the risk of congenital heart defects: Evidence from machine learning models.

The Science of the total environment Feb 19, 2018
Previous research suggested an association between maternal exposure to ambient air pollutants and risk of congenital heart defects (CHDs), though the effects of particulate matter ≤10μm in aerodynamic diameter (PM) on CHDs are inconsistent. We used ...
Maternal Exposure Heart Defects, Congenital Air Pollution Particulate Matter Beijing Humans Machine Learning Computer Simulation Adult Air Pollutants Pregnancy Female
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Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation.

Environmental pollution (Barking, Essex : 1987) Sep 25, 2017
Air pollutant concentration forecasting is an effective method of protecting public health by providing an early warning against harmful air pollutants. However, existing methods of air pollutant concentration prediction fail to effectively model lon...
Cities Air Pollution Environmental Monitoring Neural Networks, Computer Models, Theoretical Particulate Matter Models, Statistical Forecasting Beijing Air Pollutants
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Urban air quality forecasting based on multi-dimensional collaborative Support Vector Regression (SVR): A case study of Beijing-Tianjin-Shijiazhuang.

PloS one Jul 14, 2017
Today, China is facing a very serious issue of Air Pollution due to its dreadful impact on the human health as well as the environment. The urban cities in China are the most affected due to their rapid industrial and economic growth. Therefore, it i...
Air Pollution Weather Beijing China Cities Environmental Monitoring Support Vector Machine
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Distributed mixed-integer fuzzy hierarchical programming for municipal solid waste management. Part I: System identification and methodology development.

Environmental science and pollution research international Jan 18, 2017
Due to the existence of complexities of heterogeneities, hierarchy, discreteness, and interactions in municipal solid waste management (MSWM) systems such as Beijing, China, a series of socio-economic and eco-environmental problems may emerge or wors...
Solid Waste Waste Management Beijing Models, Theoretical Fuzzy Logic Nonlinear Dynamics
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Characterizing air quality data from complex network perspective.

Environmental science and pollution research international Oct 22, 2015
Air quality depends mainly on changes in emission of pollutants and their precursors. Understanding its characteristics is the key to predicting and controlling air quality. In this study, complex networks were built to analyze topological characteri...
Cluster Analysis Neural Networks, Computer Particulate Matter Particle Size Environmental Monitoring Beijing Air Pollutants Air
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