AIMC Topic: Carbon

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A Neural Network Model for Digitizing Enterprise Carbon Assets Based on Multimodal Knowledge Mapping.

Computational intelligence and neuroscience Jun 20, 2022
In this paper, a multimodal knowledge mapping approach is used to digitize enterprise carbon assets, and a corresponding neural network model is designed for use in the practical process. Rich textual entity labels associated with images are obtained...
Data Collection Carbon Neural Networks, Computer Semantics Data Mining
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Prediction of black carbon in marine engines and correlation analysis of model characteristics based on multiple machine learning algorithms.

Environmental science and pollution research international Jun 13, 2022
Ship black carbon emissions have caused great harm to ecological environment. In order to estimate the black carbon emissions, thereby reducing the cost of black carbon experiments, here, we introduced four machine learning algorithms which are lasso...
Machine Learning Carbon Soot Support Vector Machine Algorithms
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Construction of Game Model between Carbon Emission Minimization and Energy and Resource Economy Maximization Based on Deep Neural Network.

Computational intelligence and neuroscience May 2, 2022
Under this background, this paper tries to find countermeasures and ways for carbon reduction by observing and analyzing the influencing factors of carbon emissions, designing ways to minimize carbon emissions and maximize resources and energy. In vi...
Neural Networks, Computer Carbon China Game Theory
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A novel short-term carbon emission prediction model based on secondary decomposition method and long short-term memory network.

Environmental science and pollution research international Apr 28, 2022
Grasping the dynamics of carbon emission in time plays a key role in formulating carbon emission reduction policies. In order to provide more accurate carbon emission prediction results for planners, a novel short-term carbon emission prediction mode...
Algorithms Carbon Forecasting Neural Networks, Computer
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A review on proliferation of artificial intelligence in wind energy forecasting and instrumentation management.

Environmental science and pollution research international Apr 18, 2022
Energy is the source of economic growth, and energy consumption indicates the country's state of development. Energy engineering is a relatively new technical discipline. It is increasingly considered as a significant step in meeting carbon reduction...
Fossil Fuels Artificial Intelligence Renewable Energy Carbon Cell Proliferation
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Automated Image Analysis for Single-Atom Detection in Catalytic Materials by Transmission Electron Microscopy.

Journal of the American Chemical Society Mar 25, 2022
Single-atom catalytic sites may have existed in all supported transition metal catalysts since their first application. Yet, interest in the design of single-atom heterogeneous catalysts (SACs) only really grew when advances in transmission electron ...
Humans Microscopy, Electron, Transmission Reproducibility of Results Platinum Artificial Intelligence Carbon
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Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles.

Journal of the American Chemical Society Mar 23, 2022
Homogeneous catalysis is typically considered "well-defined" from the standpoint of catalyst structure unambiguity. In contrast, heterogeneous nanocatalysis often falls into the realm of "poorly defined" systems. Supported catalysts are difficult to ...
Catalysis Palladium Metal Nanoparticles Carbon Deep Learning
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Carbon price forecasting: a novel deep learning approach.

Environmental science and pollution research international Mar 19, 2022
Carbon emission trading market promotes carbon emission reduction effectively. Accurate carbon price forecasting is crucial for relevant policy makers and investors. However, due to the non-linearity, uncertainty, and complexity of carbon prices, the...
Carbon Neural Networks, Computer Deep Learning Forecasting
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Environmentally sustainable development and use of artificial intelligence in health care.

Bioethics Mar 15, 2022
Artificial intelligence (AI) can transform health care by delivering medical services to underserved areas, while also filling gaps in health care provider availability. However, AI may also lead to patient harm due to fatal glitches in robotic surge...
Humans Artificial Intelligence Health Facilities Sustainable Development Carbon Delivery of Health Care
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Carbon Dot Blinking Fingerprint Uncovers Native Membrane Receptor Organizations via Deep Learning.

Analytical chemistry Feb 21, 2022
Oligomeric organization of G protein-coupled receptors is proposed to regulate receptor signaling and function, yet rapid and precise identification of the oligomeric status especially for native receptors on a cell membrane remains an outstanding ch...
Carbon Chemokine CXCL12 Benzylamines Deep Learning Humans Quantum Dots Cyclams Receptors, CXCR4 HeLa Cells
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