AIMC Topic: Carbon

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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...
Artificial Intelligence Renewable Energy Fossil Fuels 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 ...
Microscopy, Electron, Transmission Reproducibility of Results Artificial Intelligence Platinum Carbon Humans
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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 ...
Deep Learning Carbon Palladium Catalysis Metal Nanoparticles
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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...
Neural Networks, Computer Deep Learning Carbon 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...
Sustainable Development Health Facilities Artificial Intelligence Humans 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...
Cyclams Benzylamines Receptors, CXCR4 Chemokine CXCL12 Deep Learning Humans HeLa Cells Quantum Dots Carbon
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Water quality prediction model using Gaussian process regression based on deep learning for carbon neutrality in papermaking wastewater treatment system.

Environmental research Feb 19, 2022
Wastewater recycling is the measure with enormous potentiality to achieve carbon neutrality in wastewater treatment plants. High-precision online monitoring can improve the stability of wastewater treatment system and help wastewater recycling. A new...
Waste Disposal, Fluid Deep Learning Water Quality Carbon Water Purification Reproducibility of Results Wastewater
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Deep learning approaches in remote sensing of soil organic carbon: a review of utility, challenges, and prospects.

Environmental monitoring and assessment Nov 15, 2021
The use of neural network (NN) models for remote sensing (RS) retrieval of landscape biophysical and biochemical properties has become popular in the last decade. Recently, the emergence of "big data" that can be generated from remotely sensed data a...
Soil Carbon Remote Sensing Technology Environmental Monitoring Deep Learning
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Yield prediction of "Thermal-dissolution based carbon enrichment" treatment on biomass wastes through coupled model of artificial neural network and AdaBoost.

Bioresource technology Oct 2, 2021
The "Thermal-dissolution based carbon enrichment" was proven as an efficient and homogenizing treatment method in converting biomass wastes into similar high-quality carbon materials. However, their yields varied significantly with respect to the dif...
Solubility Neural Networks, Computer Carbon Biomass Algorithms
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Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well Logs.

Computational intelligence and neuroscience Aug 30, 2021
Unconventional resources have recently gained a lot of attention, and as a consequence, there has been an increase in research interest in predicting total organic carbon (TOC) as a crucial quality indicator. TOC is commonly measured experimentally; ...
Support Vector Machine Machine Learning Carbon
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