AIMC Topic: Greenhouse Gases

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Application of triple-branch artificial neural network system for catalytic pellets combustion.

Journal of environmental management Jul 10, 2024
On the international level, it is common to act on reducing emissions from energy systems. However, in addition to industrial emissions, low-stack emissions also make a significant contribution. A good step in reducing its environmental impact, is to...
Air Pollutants Catalysis Biofuels Greenhouse Gases Platinum Neural Networks, Computer Biomass
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Cultivating a sustainable future in the artificial intelligence era: A comprehensive assessment of greenhouse gas emissions and removals in agriculture.

Environmental research Feb 23, 2024
Agriculture is a leading sector in international initiatives to mitigate climate change and promote sustainability. This article exhaustively examines the removals and emissions of greenhouse gases (GHGs) in the agriculture industry. It also investig...
Artificial Intelligence Climate Change Sustainable Development Conservation of Natural Resources Agriculture Environmental Monitoring Greenhouse Gases Greenhouse Effect
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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 Waste Management Greenhouse Gases Neural Networks, Computer Machine Learning Air Pollutants Solid Waste Carbon
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Prediction of nitrous oxide emission of a municipal wastewater treatment plant using LSTM-based deep learning models.

Environmental science and pollution research international Dec 6, 2023
Accurate assessment of greenhouse gas emissions from wastewater treatment plants is crucial for mitigating climate change. NO is a potent greenhouse gas that is emitted from wastewater treatment plants during the biological denitrification process. I...
Greenhouse Gases Nitrous Oxide Water Purification Deep Learning Algorithms
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Operational greenhouse-gas emissions of deep learning in digital pathology: a modelling study.

The Lancet. Digital health Nov 22, 2023
BACKGROUND: Deep learning is a promising way to improve health care. Image-processing medical disciplines, such as pathology, are expected to be transformed by deep learning. The first clinically applicable deep-learning diagnostic support tools are ...
Neoplasms Deep Learning Greenhouse Gases Carbon Dioxide Humans Pandemics
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Measure emissions to manage emissions.

Science (New York, N.Y.) Nov 3, 2022
In the 30 years since the world began negotiating the reduction of greenhouse gas (GHG) emissions, no one has identified exactly where all that pollution is coming from. That will begin to change next week when Climate TRACE (Tracking Real-Time Atmos...
Artificial Intelligence Climate Change Greenhouse Gases Greenhouse Effect
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Deep learning-based neural networks for day-ahead power load probability density forecasting.

Environmental science and pollution research international Oct 6, 2022
Energy efficiency is crucial to greenhouse gas (GHG) emission pathways reported by the Intergovernmental Panel on Climate Change. Electrical overload frequently occurs and causes unwanted outages in distribution networks, which reduces energy utiliza...
Deep Learning Probability Greenhouse Gases Forecasting Reproducibility of Results Neural Networks, Computer
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Perceptions of GHG emissions and renewable energy sources in Europe, Australia and the USA.

Environmental science and pollution research international Aug 25, 2021
People's sentiments and perceptions of greenhouse gas emission and renewable energy are important information to understand their reaction to the planned mitigation policy. Therefore, this research analyzes people's perceptions of greenhouse gas emis...
Europe Sentiment Analysis Greenhouse Gases Renewable Energy Humans Wind
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Impact of subclinical mastitis on greenhouse gas emissions intensity and profitability of dairy cows in Norway.

Preventive veterinary medicine Nov 27, 2017
Impaired animal health causes both productivity and profitability losses on dairy farms, resulting in inefficient use of inputs and increase in greenhouse gas (GHG) emissions produced per unit of product (i.e. emissions intensity). Here, we used subc...
Greenhouse Gases Norway Cell Count Cattle Asymptomatic Infections Female Lactation Mastitis, Bovine Models, Theoretical Dairying Animals Milk Feeding Behavior
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Machine learning-based prediction of ambient CO and CH concentrations with high temporal resolution in Seoul metropolitan area.

Environmental pollution (Barking, Essex : 1987) Jul 1, 2025
Machine learning has the potential to support the growing need for high-resolution greenhouse gas monitoring in urban and industrial environments, where deploying extensive sensor networks is often limited by cost and operational challenges. This stu...
Environmental Monitoring Air Pollutants Machine Learning Republic of Korea Carbon Dioxide Air Pollution Greenhouse Gases Methane Seoul
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