AIMC Topic: Carbon

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Do industrial robots reduce carbon intensity? The role of natural resource rents and corruption control.

Environmental science and pollution research international Sep 22, 2023
Although the research on the impact of robotics on carbon emissions is increasing, there are still relatively few studies on the impact of robots on carbon intensity from the perspective of natural resources and corruption. In order to fill in the re...
Carbon Robotics Carbon Dioxide Economic Development Natural Resources
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Optimization of biogas production from straw wastes by different pretreatments: Progress, challenges, and prospects.

The Science of the total environment Sep 17, 2023
Lignocellulosic biomass (LCB) presents a promising feedstock for carbon management due to enormous potential for achieving carbon neutrality and delivering substantial environmental and economic benefit. Bioenergy derived from LCB accounts for about ...
Carbon Anaerobiosis Bioreactors Biofuels Methane Artificial Intelligence Biomass
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Deep learning-based fast denoising of Monte Carlo dose calculation in carbon ion radiotherapy.

Medical physics Sep 1, 2023
BACKGROUND: Plan verification is one of the important steps of quality assurance (QA) in carbon ion radiotherapy. Conventional methods of plan verification are based on phantom measurement, which is labor-intensive and time-consuming. Although the pl...
Deep Learning Carbon Humans Algorithms Radiotherapy Dosage Monte Carlo Method Ions Heavy Ion Radiotherapy Radiotherapy Planning, Computer-Assisted
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Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015-2020 in Shaanxi, China.

Journal of environmental sciences (China) Aug 22, 2023
Carbon emissions resulting from energy consumption have become a pressing issue for governments worldwide. Accurate estimation of carbon emissions using satellite remote sensing data has become a crucial research problem. Previous studies relied on s...
Air Pollution Carbon Air Pollutants China Bayes Theorem Environmental Monitoring Machine Learning Remote Sensing Technology Algorithms
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Self-removal of catheter after robot-assisted radical prostatectomy: a feasibility study.

Journal of robotic surgery Aug 7, 2023
Self-removal of urinary catheter as an option after robot-assisted radical prostatectomy (RARP) has never been explored in literature. We report the feasibility and outcome of the first study of this novel concept in our hospital. We conducted a pros...
Feasibility Studies Carbon Dioxide Robotics Robotic Surgical Procedures Prostatectomy Urinary Catheters Humans Treatment Outcome Carbon Male
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Spatiotemporal characteristics of carbon emissions in Shaanxi, China, during 2012-2019: a machine learning method with multiple variables.

Environmental science and pollution research international Jul 10, 2023
Global warming attributed to the emission of greenhouse gases has caused unprecedented extreme weather events, such as excessive heatwave and rainfall, posing enormous threats to human life and sustainable development. China, as the toppest CO emitte...
Economic Development Carbon Dioxide Spatial Analysis Cities Carbon Humans Temperature China Machine Learning
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Can the application of artificial intelligence in industry cut China's industrial carbon intensity?

Environmental science and pollution research international Jun 15, 2023
As an emerging technology, industrial intelligence focus on the integration of artificial intelligence and production, which creates a new access to achieve the goal of carbon emissions reduction. Using data on provincial panel data from 2006 to 2019...
Economic Development Carbon Dioxide Industry Artificial Intelligence China Carbon
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Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images.

Chemosphere Jun 9, 2023
Visible near-infrared reflectance spectroscopy (VNIR) and hyperspectral images (HSI) have their respective advantages in soil carbon content prediction, and the effective fusion of VNIR and HSI is of great significance for improving the prediction ac...
Deep Learning Carbon Carbon Sequestration Carbon Cycle Soil
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A two-stage interval-valued carbon price forecasting model based on bivariate empirical mode decomposition and error correction.

Environmental science and pollution research international Jun 3, 2023
Economic development has brought about global greenhouse gas emissions and, thus, global climate change, a common challenge worldwide and urgently needs to be addressed. Accurate carbon price forecasting plays a pivotal role in providing a reasonable...
Neural Networks, Computer Commerce China Artificial Intelligence Carbon Forecasting
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Biomass-Derived Carbon Electrodes for High-Performance Supercapacitors.

ChemSusChem May 31, 2023
Supercapacitors with the performance advantages of high-power density are emerging materials for energy storage/conversion systems that can combat climate change caused by CO emissions and are of importance with the development of electronic products...
Biomass Carbon Artificial Intelligence Electrodes Climate Change
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