AIMC Topic: Carbon

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Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies.

Environmental monitoring and assessment Feb 3, 2024
Across the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments' carbon reduction policies can significantly enhance our ability to combat climate change ...
Artificial Intelligence Policy Deep Learning Humans Air Pollutants Carbon Dioxide Government Environmental Monitoring Carbon
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A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China.

Journal of environmental management Jan 23, 2024
Accurately predicting carbon trading prices using deep learning models can help enterprises understand the operational mechanisms and regulations of the carbon market. This is crucial for expanding the industries covered by the carbon market and ensu...
Forecasting Reproducibility of Results Deep Learning Industry China Carbon
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Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction.

Environmental pollution (Barking, Essex : 1987) Jan 17, 2024
Improper municipal solid waste (MSW) management contributes to greenhouse gas emissions, necessitating emissions reduction strategies such as waste reduction, recycling, and composting to move towards a more sustainable, low-carbon future. Machine le...
Refuse Disposal Carbon Air Pollutants Waste Management Solid Waste Greenhouse Gases Neural Networks, Computer Machine Learning
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Taxonomy, biological characterization and fungicide sensitivity assays of Hypomyces cornea sp. nov. causing cobweb disease on Auricularia cornea.

Fungal biology Dec 31, 2023
Auricularia cornea is an important edible mushroom crop in China but the occurrence of cobweb disease has cause significance economic loss in its production. The rate of disease occurrence is 16.65% all over the country. In the present study, a new p...
Hypocreales Cornea Carbon Agaricales Nitrogen Auricularia Fungicides, Industrial Phylogeny
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Waste-to-energy incineration site selection framework based on heterogeneous fuzzy regret-PROMETHEE model considering life-cycle carbon emissions.

Environmental science and pollution research international Dec 13, 2023
Waste incineration technology has received extensive attention for its advantages of being harmless, reducing, and recycling. However, the waste-to-energy incineration project confronts significant "not-in-my-backyard (NIMBY) concerns," and irrationa...
Emotions Carbon Decision Making Fuzzy Logic Uncertainty Incineration
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Toward a comprehensive understanding of alicyclic compounds: Bio-effects perspective and deep learning approach.

The Science of the total environment Nov 30, 2023
The escalating use of alicyclic compounds in modern industrial production has led to a rapid increase of these substances in the environment, posing significant health hazards. Addressing this challenge necessitates a comprehensive understanding of t...
Industry Organic Chemicals Carbon Neural Networks, Computer Deep Learning
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Emerging Directions for Carbon Capture Technologies: A Synergy of High-Throughput Theoretical Calculations and Machine Learning.

Environmental science & technology Nov 2, 2023
As the world grapples with the challenges of energy transition and industrial decarbonization, the development of carbon capture technologies presents a promising solution. The Scalable Modeling, Artificial Intelligence (AI), and Rapid Theoretical ca...
Industry Artificial Intelligence Technology Carbon Machine Learning
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How does the robot adoption promote carbon reduction?: spatial correlation and heterogeneity analysis.

Environmental science and pollution research international Oct 18, 2023
Along with the continuous improvement of industrial intelligence, robots are widely used in various aspects of production and life, playing an essential role in achieving carbon reduction targets. However, the existing research on the carbon reductio...
Carbon Robotics Industry Policy Economic Development Carbon Dioxide China
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Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles.

Journal of exposure science & environmental epidemiology Oct 17, 2023
BACKGROUND: Understanding lung deposition dose of black carbon is critical to fully reconcile epidemiological evidence of combustion particles induced health effects and inform the development of air quality metrics concerning black carbon. Macrophag...
Particle Size Algorithms Air Pollutants Macrophages Particulate Matter Female Environmental Exposure Smoke Middle Aged Humans Air Pollution Adult Artificial Intelligence Lung Wildfires Male Carbon Soot
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Artificial intelligence, industrial structure optimization, and CO emissions.

Environmental science and pollution research international Sep 26, 2023
The carbon-reducing effects of artificial intelligence (AI) will be a critical means of achieving carbon peak and carbon neutrality in China. However, in order to efficiently harness the power of AI, the relationship between AI and carbon reduction n...
Carbon Dioxide Artificial Intelligence Industry China Economic Development Carbon
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