AIMC Topic: Carbon Footprint

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Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence.

PloS one Jan 3, 2025
This study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculat...
China Models, Theoretical Algorithms Power Plants Carbon Footprint Carbon Electricity Artificial Intelligence Machine Learning
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Effective carbon footprint assessment strategy in fly ash geopolymer concrete based on adaptive boosting learning techniques.

Environmental research Dec 6, 2024
In light of the growing need to mitigate climate change impacts, this study presents an innovative methodology combining ensemble machine learning with experimental data to accurately predict the carbon dioxide footprint (CO-FP) of fly ash geopolymer...
Machine Learning Environmental Monitoring Carbon Footprint Coal Ash Air Pollutants Construction Materials Carbon Dioxide
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Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future.

Diagnostic and interventional imaging Jun 24, 2024
The rapid advancement of artificial intelligence (AI) in healthcare has revolutionized the industry, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. However, the increasing adoption of AI systems also raise...
Delivery of Health Care Climate Change Sustainable Development Carbon Footprint Artificial Intelligence Forecasting Humans
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The Future of Urology: From Carbon Footprint to Artificial Intelligence.

The Journal of urology Jun 7, 2024
Artificial Intelligence Forecasting Humans Urology Carbon Footprint
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Environmental Impacts of Machine Learning Applications in Protein Science.

Cold Spring Harbor perspectives in biology Dec 1, 2023
Computing tools and machine learning models play an increasingly important role in biology and are now an essential part of discoveries in protein science. The growing energy needs of modern algorithms have raised concerns in the computational scienc...
Machine Learning Algorithms Proteins Carbon Footprint
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Mitigating carbon footprint for knowledge distillation based deep learning model compression.

PloS one May 15, 2023
Deep learning techniques have recently demonstrated remarkable success in numerous domains. Typically, the success of these deep learning models is measured in terms of performance metrics such as accuracy and mean average precision (mAP). Generally,...
Carbon Footprint Carbon Dioxide Physical Phenomena Deep Learning
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Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions.

Journal of environmental management Jan 14, 2023
Nowadays, there is an increasing use of digital technologies and Artificial Intelligence (AI) such as Machine Learning (ML) models that leverage data to optimize the performances of systems in almost all activity sectors, including ML models for opti...
Humans Neural Networks, Computer Artificial Intelligence Carbon Dioxide Bayes Theorem Carbon Footprint
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Using Deep Learning to Fill Data Gaps in Environmental Footprint Accounting.

Environmental science & technology Jul 28, 2022
Environmental footprint accounting relies on economic input-output (IO) models. However, the compilation of IO models is costly and time-consuming, leading to the lack of timely detailed IO data. The RAS method is traditionally used to predict future...
Deep Learning Carbon Footprint Neural Networks, Computer
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Mitigating spread of contamination in meat supply chain management using deep learning.

Scientific reports Mar 23, 2022
Industry 4.0 recommends a paradigm shift from traditional manufacturing to automated industrial practices, especially in different parts of supply chain management. Besides, the Sustainable Development Goal (SDG) 12 underscores the urgency of ensurin...
Meat Artificial Intelligence Carbon Footprint Refuse Disposal Deep Learning
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Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach.

The Science of the total environment Jul 17, 2021
Zero-carbon is the current buzzword triggering the minds of every people in the world. The current pandemic situation has given the world an alarm to act towards the reduction/eradication of carbon footprint. Developing countries like India are striv...
Decision Making Humans Carbon Footprint Fuzzy Logic Bayes Theorem Carbon
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