AIMC Topic: Carbon

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A Dynamic Recurrent Neural Network for Predicting Higher Heating Value of Biomass.

International journal of molecular sciences Mar 17, 2023
The higher heating value (HHV) is the main property showing the energy amount of biomass samples. Several linear correlations based on either the proximate or the ultimate analysis have already been proposed for predicting biomass HHV. Since the HHV ...
Biomass Carbon Heating Neural Networks, Computer Algorithms
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Prediction of Soil Water-Soluble Organic Matter by Continuous Use of Corn Biochar Using Three-Dimensional Fluorescence Spectra and Deep Learning.

Computational intelligence and neuroscience Mar 6, 2023
The purpose is to study the soil's water-soluble organic matter and improve the utilization rate of the soil layer. This exploration is based on the theories of three-dimensional fluorescence spectroscopy, deep learning, and biochar. Chernozem in Har...
Zea mays Soil Nitrogen Water Carbon Fluorescence Deep Learning
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Deep learning-assisted smartphone-based portable and visual ratiometric fluorescence device integrated intelligent gel label for agro-food freshness detection.

Food chemistry Feb 4, 2023
Here, a smartphone-assisted dual-color ratiometric fluorescence smart gel label-based visual sensing platform was constructed for real-time evaluation of the freshness of agro-food based on the biogenic amines responses. Green-emission fluorescence c...
Smartphone Carbon Deep Learning Fluorescent Dyes Hydrogels Quantum Dots Limit of Detection Seafood
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Intelligent analysis of carbendazim in agricultural products based on a ZSHPC/MWCNT/SPE portable nanosensor combined with machine learning methods.

Analytical methods : advancing methods and applications Feb 2, 2023
A nano-ZnS-decorated hierarchically porous carbon (ZSHPC) was mixed with MWCNTs to obtain ZSHPC/MWCNT nanocomposites. Then, ZSHPC/MWCNTs were used to modify a screen-printed electrode, and a portable electrochemical detection system combined with mac...
Tea Porosity Machine Learning Carbon
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Forecasting the energy intensity of industrial sector in China based on FCM-RS-SVM model.

Environmental science and pollution research international Feb 1, 2023
Analysis of industrial energy intensity is greatly significant in China specifically from the perspective of sector heterogeneity due to considerably different levels of energy utilization in various industrial sub-sectors. This study proposes a new ...
Carbon Dioxide Industry Economic Development Manufacturing Industry Support Vector Machine Carbon China
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As good as human experts in detecting plant roots in minirhizotron images but efficient and reproducible: the convolutional neural network "RootDetector".

Scientific reports Jan 25, 2023
Plant roots influence many ecological and biogeochemical processes, such as carbon, water and nutrient cycling. Because of difficult accessibility, knowledge on plant root growth dynamics in field conditions, however, is fragmentary at best. Minirhiz...
Carbon Plant Roots Humans Neural Networks, Computer Soil Reproducibility of Results
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The Application of Machine Learning: Controlling the Preparation of Environmental Materials and Carbon Neutrality.

International journal of environmental research and public health Jan 19, 2023
The greenhouse effect is a severe global problem [...].
Carbon Dioxide Greenhouse Effect Social Conditions Machine Learning Carbon
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Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software.

International journal of environmental research and public health Jan 17, 2023
Residential carbon emissions are one of the critical causes of climate problems such as global warming. It is significant to explore the development and evolution trend of residential carbon emissions research for mitigating global climate change. Ho...
Carbon Artificial Intelligence Software Carbon Dioxide China
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Towards low-carbon development: The role of industrial robots in decarbonization in Chinese cities.

Journal of environmental management Jan 6, 2023
Technological advancements have played a key role in improving energy efficiency and reducing emissions, and industrial robots are important carriers of intelligent manufacturing and industrial upgrading. Although various countries and regions are un...
Economic Development Carbon Robotics Carbon Dioxide Industry China Cities
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Research on the potential for China to achieve carbon neutrality: A hybrid prediction model integrated with elman neural network and sparrow search algorithm.

Journal of environmental management Dec 20, 2022
China's carbon reduction is of substantial significance in combating global climate change. In the context of the COVID-19 epidemic hit and economic and social development uncertainty, this study intends to discover whether China can attain the strat...
Renewable Energy China Conservation of Natural Resources Carbon COVID-19 Humans Carbon Dioxide Economic Development Neural Networks, Computer Algorithms Climate Change
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