AIMC Topic: Carbon Dioxide

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Investigating the causal relationship between electricity pricing policy and CO emission: An application of machine learning-driven metalearners.

Journal of environmental management Mar 13, 2025
Investigating the causal relationship between electricity pricing policies and CO emissions is vital for crafting effective climate strategies, as it reveals how pricing mechanisms can inadvertently influence environmental outcomes. So, the paper uti...
Machine Learning Carbon Dioxide Electricity
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Applying Gaussian Process Machine Learning and Modern Probabilistic Programming to Satellite Data to Infer CO Emissions.

Environmental science & technology Feb 24, 2025
Satellite data provides essential insights into the spatiotemporal distribution of CO concentrations. However, many atmospheric inverse models fail to adequately incorporate the spatial and temporal correlations inherent in satellite observations and...
Atmosphere Carbon Dioxide Machine Learning Normal Distribution
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Climate Sustainability through AI-Crypto Synergies and Energy Transition in the Digital Landscape to Cut 0.7 GtCOe by 2030.

Environmental science & technology Feb 19, 2025
The rapid expansion of artificial intelligence (AI)-enabled systems and cryptocurrency mining poses significant challenges to climate sustainability due to energy-intensive operations relying on fossil-powered grids. This work investigates the strate...
Carbon Dioxide Climate Change Renewable Energy Artificial Intelligence
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Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO.

Scientific reports Feb 12, 2025
Accurate estimation of the solubility of solid drugs (SDs) in the supercritical carbon dioxide (SC-CO) plays an essential role in the related technologies. In this study, artificial intelligence models (AIMs) by gene expression programming (GEP) and ...
Machine Learning Fuzzy Logic Carbon Dioxide Solubility Pharmaceutical Preparations
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Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning.

Journal of clinical monitoring and computing Feb 7, 2025
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging evidence that optimization of rSO may improve neurological and non-neurological outcomes. To manipulate rSO an understanding of the variables that drive its...
Monitoring, Intraoperative ROC Curve Oxygen Spectroscopy, Near-Infrared Hemodynamics Oxygen Saturation Cerebrovascular Circulation Oximetry Supervised Machine Learning Carbon Dioxide Signal Processing, Computer-Assisted Reproducibility of Results Algorithms Aged Male Humans Adult Brain Middle Aged Machine Learning Female
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Determination of 5-fluorouracil anticancer drug solubility in supercritical COusing semi-empirical and machine learning models.

Scientific reports Feb 7, 2025
In order to provide the facilities to design the supercritical fluid (SCF) processes for micro or nanosizing of solid solute compounds such as drugs, it is essential to obtain their solubility in green solvents like pressurized CO. This important rol...
Antineoplastic Agents Fluorouracil Carbon Dioxide Machine Learning Temperature Solubility Chromatography, Supercritical Fluid
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An examination of daily CO emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models.

Environmental science and pollution research international Jan 13, 2025
Human-induced global warming, primarily attributed to the rise in atmospheric CO, poses a substantial risk to the survival of humanity. While most research focuses on predicting annual CO emissions, which are crucial for setting long-term emission mi...
China India Air Pollutants Carbon Dioxide Models, Statistical Neural Networks, Computer Machine Learning Deep Learning
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Accelerated Screening of Highly Sensitive Gas Sensor Materials for Greenhouse Gases Based on DFT and Machine Learning Methods.

ACS sensors Jan 6, 2025
Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary to screen gas sensor materials for detecting GHGs. In this study, we propose an ideal gas sensor design strategy with high screening efficiency and low c...
Gases Greenhouse Gases Density Functional Theory Methane Machine Learning Adsorption Carbon Dioxide
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Noninvasive estimation of PaCO from volumetric capnography in animals with injured lungs: an Artificial Intelligence approach.

Journal of clinical monitoring and computing Dec 26, 2024
To investigate the feasibility of non-invasively estimating the arterial partial pressure of carbon dioxide (PaCO) using a computational Adaptive Neuro-Fuzzy Inference System (ANFIS) model fed by noninvasive volumetric capnography (VCap) parameters. ...
Lung Injury Partial Pressure Capnography Feasibility Studies Carbon Dioxide Lung Swine Monitoring, Physiologic Artificial Intelligence Reproducibility of Results Animals Fuzzy Logic Positive-Pressure Respiration Algorithms Respiration, Artificial
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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...
Carbon Footprint Construction Materials Coal Ash Air Pollutants Machine Learning Carbon Dioxide Environmental Monitoring
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