AIMC Topic: Environmental Pollution
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Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives.
Frontiers in public health
Feb 14, 2024
As population density increases, environmental hygiene and public health become increasingly severe. As the space where residents stay for the longest time and have the most profound impact on their physical and mental health, the quality of the envi...
A multi-tier deterioration assessment models for sewer and stormwater pipelines in Hong Kong.
Journal of environmental management
Sep 7, 2023
Sewerage and stormwater networks are subjected to several deterioration factors, including aging, environmental conditions, and traffic. Maintaining these critical assets in good condition is essential to avoid harmful consequences, such as environme...
Air pollution forecasting based on wireless communications: review.
Environmental monitoring and assessment
Sep 5, 2023
The development of contemporary artificial intelligence (AI) methods such as artificial neural networks (ANNs) has given researchers around the world new opportunities to address climate change and air quality issues. The small size, low cost, and lo...
The impact of artificial intelligence on pollution emission intensity-evidence from China.
Environmental science and pollution research international
Jul 20, 2023
Artificial intelligence (AI) is a crucial component of sustainable economic development and an indicator of the next wave of technological progress. This study examines the effects and mechanisms of AI on the intensity of pollution emissions, using C...
A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels.
Scientific reports
Jun 24, 2023
Solar energy is a very efficient alternative for generating clean electric energy. However, pollution on the surface of solar panels reduces solar radiation, increases surface transmittance, and raises the surface temperature. All these factors cause...
PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network.
Environmental science and pollution research international
May 22, 2023
As the core of pollution prevention and management, accurate PM2.5 concentration prediction is crucial for human survival. However, due to the nonstationarity and nonlinearity of PM2.5 concentration data, the accurate prediction for PM2.5 concentrati...
Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling.
Sensors (Basel, Switzerland)
May 16, 2023
The estimation of human mobility patterns is essential for many components of developed societies, including the planning and management of urbanization, pollution, and disease spread. One important type of mobility estimator is the next-place predic...
A Horizon Scan to Support Chemical Pollution-Related Policymaking for Sustainable and Climate-Resilient Economies.
Environmental toxicology and chemistry
May 8, 2023
While chemicals are vital to modern society through materials, agriculture, textiles, new technology, medicines, and consumer goods, their use is not without risks. Unfortunately, our resources seem inadequate to address the breadth of chemical chall...
Application of artificial intelligence in solar and wind energy resources: a strategy to deal with environmental pollution.
Environmental science and pollution research international
Apr 25, 2023
Environmental pollution has become a significant concern of nations. International organizations, local authorities, and social activists try to achieve sustainable development goals (SDGs) to protect the environment. However, this cannot be achieved...
The predictive model for COVID-19 pandemic plastic pollution by using deep learning method.
Scientific reports
Mar 13, 2023
Pandemic plastics (e.g., masks, gloves, aprons, and sanitizer bottles) are global consequences of COVID-19 pandemic-infected waste, which has increased significantly throughout the world. These hazardous wastes play an important role in environmental...
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