AIMC Topic: Beijing

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Planning and layout of tourism and leisure facilities based on POI big data and machine learning.

PloS one Mar 4, 2025
The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. The integration of Point of Interest (POI) data, enriched with location-specific insights,...
Tourism City Planning Algorithms Humans Big Data Machine Learning China Leisure Activities Cities Beijing
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PM concentration prediction using a whale optimization algorithm based hybrid deep learning model in Beijing, China.

Environmental pollution (Barking, Essex : 1987) Mar 1, 2025
PM is a significant global atmospheric pollutant impacting visibility, climate, and public health. Accurate prediction of PM concentrations is critical for assessing air pollution risks and providing early warnings for effective management. This stud...
Algorithms Animals Deep Learning Particulate Matter Beijing Environmental Monitoring Whales Air Pollutants Air Pollution
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Does COVID-19 lockdown matter for air pollution in the short and long run in China? A machine learning approach to policy evaluation.

Journal of environmental management Sep 24, 2024
This paper leverages a data-driven two-step approach to effectively evaluate the effects of COVID-19 lockdown on air pollution in both the short and long-term in China. Using air pollution, meteorological conditions, and air mass clusters from 34 air...
Humans Machine Learning Environmental Monitoring Air Pollutants Air Pollution COVID-19 SARS-CoV-2 China Beijing Particulate Matter Quarantine
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Predictive analysis and risk assessment of potentially toxic elements in Beijing gas station soils using machine learning and two-dimensional Monte Carlo simulations.

Journal of hazardous materials Jul 31, 2024
Gas stations not only serve as sites for oil storage and refueling but also as locations where vehicles frequently brake, significantly enriching the surrounding soil with potentially toxic elements (PTEs). Herein, 117 topsoil samples from gas statio...
Metals, Heavy Monte Carlo Method Beijing Adult Male Risk Assessment Environmental Monitoring Soil Pollutants Humans Machine Learning Female
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Identifying influence factors and thresholds of the next day's pollen concentration in different seasons using interpretable machine learning.

The Science of the total environment May 21, 2024
The prevalence of pollen allergies is a pressing global issue, with projections suggesting that half of the world's population will be affected by 2050 according to the estimation of the World Health Organization (WHO). Accurately forecasting pollen ...
Beijing Machine Learning Pollen Environmental Monitoring Air Pollutants Air Pollution Seasons Allergens
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Short-term prediction of PM2.5 concentration by hybrid neural network based on sequence decomposition.

PloS one May 10, 2024
Accurate forecasting of PM2.5 concentrations serves as a critical tool for mitigating air pollution. This study introduces a novel hybrid prediction model, termed MIC-CEEMDAN-CNN-BiGRU, for short-term forecasting of PM2.5 concentrations using a 24-ho...
Beijing Air Pollution Particulate Matter Neural Networks, Computer Forecasting Environmental Monitoring Air Pollutants
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Multi-objective location-routing optimization based on machine learning for green municipal waste management.

Waste management (New York, N.Y.) Apr 12, 2024
Most of the existing municipal waste management (MWM) systems focus on the optimization of the waste disposal center locations and waste collection paths, which can be modeled based on the location-routing problem (LRP). This study models a green MWM...
Machine Learning Algorithms Waste Management Cities Beijing Refuse Disposal Models, Theoretical
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Establishment of a machine learning predictive model for non-alcoholic fatty liver disease: A longitudinal cohort study.

Nutrition, metabolism, and cardiovascular diseases : NMCD Feb 15, 2024
BACKGROUND AND AIMS: Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease, which lacks effective drug treatments. This study aimed to construct an eXtreme Gradient Boosting (XGBoost) prediction model to identify or evaluate pot...
Longitudinal Studies Predictive Value of Tests Non-alcoholic Fatty Liver Disease Beijing Humans Machine Learning Middle Aged Female Adult Decision Support Techniques Risk Assessment Reproducibility of Results Male Biomarkers Diagnosis, Computer-Assisted Risk Factors Prognosis
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Residential water and energy consumption prediction at hourly resolution based on a hybrid machine learning approach.

Water research Oct 11, 2023
Predicting water and energy consumption at high resolution over a short-term horizon is critical for water and energy resource management. Water and energy are shown to be closely interlinked in household consumption. However, hourly predictions are ...
Beijing Machine Learning Water
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Beijing's central role in global artificial intelligence research.

Scientific reports Dec 12, 2022
Nations worldwide are mobilizing to harness the power of Artificial Intelligence (AI) given its massive potential to shape global competitiveness over the coming decades. Using a dataset of 2.2 million AI papers, we study inter-city citations, collab...
Beijing Artificial Intelligence Cities
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