AIMC Topic: Carbon
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Machine learning-assisted chromium speciation using a single-well ratiometric fluorescent nanoprobe.
Chemosphere
Apr 11, 2024
Chromium is widely recognized as a significant pollutant discharged into the environment by various industrial activities. The toxicity of this element is dependent on its oxidation state, making speciation analysis crucial for monitoring the quality...
Expression of Concern: Latest insights on separation and storage of carbon compounds in buildings towards sustainable environment: Recent innovations, challenges, future perspectives and application of machine learning.
Chemosphere
Apr 11, 2024
Expression of Concern: Assessment in carbon-based layered double hydroxides for water and wastewater: Application of artificial intelligence and recent progress.
Chemosphere
Apr 11, 2024
Exploring optical descriptors for rapid estimation of coastal sediment organic carbon and nearby land-use classifications via machine learning models.
Marine pollution bulletin
Apr 1, 2024
This study utilizes ultraviolet and fluorescence spectroscopic indices of dissolved organic matter (DOM) from sediments, combined with machine learning (ML) models, to develop an optimized predictive model for estimating sediment total organic carbon...
Learning vs. understanding: When does artificial intelligence outperform process-based modeling in soil organic carbon prediction?
New biotechnology
Mar 8, 2024
In recent years, machine learning (ML) algorithms have gained substantial recognition for ecological modeling across various temporal and spatial scales. However, little evaluation has been conducted for the prediction of soil organic carbon (SOC) on...
Comparison of sexual function after robot-assisted radical prostatectomy and carbon-ion radiotherapy for Japanese prostate cancer patients using propensity score matching.
BMC cancer
Mar 5, 2024
BACKGROUND: The quality of life of patients is an important consideration when selecting treatments for localized prostate cancer (PCa). We retrospectively compared sexual function after robot-assisted radical prostatectomy (RARP) and carbon-ion radi...
Ocean carbon emission prediction and management measures based on artificial intelligence remote sensing estimation in the context of carbon neutrality.
Environmental research
Feb 29, 2024
With rapid economic development, the gradual deterioration of the natural environment has posed unprecedented challenges to human social civilization. The marine economy, as an important part of economic development, is the breakthrough of economic t...
Nanoinformatics based insights into the interaction of blood plasma proteins with carbon based nanomaterials: Implications for biomedical applications.
Advances in protein chemistry and structural biology
Feb 19, 2024
In the past three decades, interest in using carbon-based nanomaterials (CBNs) in biomedical application has witnessed remarkable growth. Despite the rapid advancement, the translation of laboratory experimentation to clinical applications of nanomat...
Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models.
Environmental science and pollution research international
Feb 15, 2024
Accurately predicting future carbon emissions is of great significance for the government to scientifically promote carbon emission reduction policies. Among the current technologies for forecasting carbon emissions, the most prominent ones are econo...
Forecasting China carbon price using an error-corrected secondary decomposition hybrid model integrated fuzzy dispersion entropy and deep learning paradigm.
Environmental science and pollution research international
Feb 6, 2024
Forecasting China's carbon price accurately can encourage investors and manufacturing industries to take quantitative investments and emission reduction decisions effectively. The inspiration for this paper is developing an error-corrected carbon pri...
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