AIMC Topic: 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...
Water Purification Reproducibility of Results Wastewater Carbon Water Quality Waste Disposal, Fluid Deep Learning
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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...
Environmental Monitoring Carbon Remote Sensing Technology Deep Learning Soil
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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...
Neural Networks, Computer Biomass Carbon Algorithms Solubility
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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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Carbon price forecasting using multiscale nonlinear integration model coupled optimal feature reconstruction with biphasic deep learning.

Environmental science and pollution research international Aug 28, 2021
Precise carbon price forecasting matters a lot for both regulators and investors. The improvement of carbon price forecasting can not only provide investors with rational advice but also make for energy conservation and emission reduction. But tradit...
Carbon China Neural Networks, Computer Deep Learning Forecasting
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Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma Ray.

Computational intelligence and neuroscience Jul 22, 2021
Due to high oil and gas production and consumption, unconventional reservoirs attracted significant interest. Total organic carbon (TOC) is a significant measure of the quality of unconventional resources. Conventionally, TOC is measured experimental...
Neural Networks, Computer Carbon Gamma Rays
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Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling.

PloS one Jul 20, 2021
Accuracy of infrared (IR) models to measure soil particle-size distribution (PSD) depends on soil preparation, methodology (sedimentation, laser), settling times and relevant soil features. Compositional soil data may require log ratio (ilr) transfor...
Soil Spectrophotometry, Infrared Spectroscopy, Near-Infrared Carbon Models, Theoretical Particle Size Machine 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...
Fuzzy Logic Humans Carbon Footprint Carbon Decision Making Bayes Theorem
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Carbon/Silicone Nanocomposite-Enabled Soft Pressure Sensors with a Liquid-Filled Cell Structure Design for Low Pressure Measurement.

Sensors (Basel, Switzerland) Jul 10, 2021
In the fields of humanoid robots, soft robotics, and wearable electronics, the development of artificial skins entails pressure sensors that are low in modulus, high in sensitivity, and minimal in hysteresis. However, few sensors in the literature ca...
Nanocomposites Silicones Robotics Animals Carbon Wearable Electronic Devices
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Short-term prediction of carbon emissions based on the EEMD-PSOBP model.

Environmental science and pollution research international Jun 1, 2021
The recovery of carbon emissions in the past 2 years has alerted us that carbon emissions are a long-term process, and setting short-term emission reduction targets can more effectively curb the rising trend of carbon emissions. Therefore, the resear...
Carbon Neural Networks, Computer Forecasting
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