AIMC Topic: Carbon

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Soil organic carbon estimation using remote sensing data-driven machine learning.

PeerJ Aug 1, 2024
Soil organic carbon (SOC) is a crucial component of the global carbon cycle, playing a significant role in ecosystem health and carbon balance. In this study, we focused on assessing the surface SOC content in Shandong Province based on land use type...
Support Vector Machine Ecosystem Forests Carbon China Remote Sensing Technology Environmental Monitoring Machine Learning Soil
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An investment decision framework for offshore CCUS project under interval-valued fermatean fuzzy environment.

Environmental technology Jul 17, 2024
Carbon Capture, Utilization and Storage (CCUS) is an indispensable technology for achieving a net-zero emission society. The offshore CCUS project is still in its infancy. To promote its sustainable development, developing a comprehensive framework f...
Fuzzy Logic Carbon Decision Making Conservation of Natural Resources Investments
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Machine learning trained poly (3,4-ethylenedioxythiophene) functionalized carbon matrix suspended Cu nanoparticles for precise monitoring of nitrite from pickled vegetables.

Food chemistry Jul 17, 2024
Precise monitoring of nitrite from real samples has gained significant attention due to its detrimental impact on human health. Herein, we have fabricated poly(3,4-ethylenedioxythiophene) functionalized carbon matrix suspended Cu nanoparticles (PEDOT...
Carbon Electrochemical Techniques Metal Nanoparticles Limit of Detection Copper Polymers Machine Learning Food Contamination Nitrites Vegetables Bridged Bicyclo Compounds, Heterocyclic
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Quantifying the multiple environmental, health, and economic co-benefits from the adoption of carbon capture technology in the power sector in southern Iraq, using a recurrent neural network-based health assessment approach.

Journal of environmental management Jul 17, 2024
This study introduces a novel integrated quantitative modeling framework to assess the multiple environmental, health, and economic benefits from implementing carbon capture technology in the power sector of Basra province, Iraq. This province is str...
Carbon Air Pollution Particulate Matter Iraq Power Plants Humans Neural Networks, Computer
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Information disclosure, multifaceted collaborative governance, and carbon total factor productivity-An evaluation of the effects of the 'environmental information disclosure pilot' policy based on double machine learning.

Journal of environmental management Jul 16, 2024
As an environmental institutional arrangement related to the information factor of the diversified participation of the government, enterprises, the media and the public, the environmental information disclosure pilot policy, can and how to affect th...
Pilot Projects Carbon Disclosure Environmental Policy Machine Learning China
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Optimization of a Novel Engineered Ecosystem Integrating Carbon, Nitrogen, Phosphorus, and Sulfur Biotransformation for Saline Wastewater Treatment Using an Interpretable Machine Learning Approach.

Environmental science & technology Jul 10, 2024
The denitrifying sulfur (S) conversion-associated enhanced biological phosphorus removal (DS-EBPR) process for treating saline wastewater is characterized by its unique microbial ecology that integrates carbon (C), nitrogen (N), phosphorus (P), and S...
Waste Disposal, Fluid Carbon Nitrogen Wastewater Ecosystem Sulfur Phosphorus Denitrification Biotransformation Machine Learning
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Ensemble learning algorithms to elucidate the core microbiome's impact on carbon content and degradation properties at the soil aggregate level.

The Science of the total environment Jul 4, 2024
Soil aggregates are crucial for soil organic carbon (OC) accumulation. This study, utilizing a 32-year fertilization experiment, investigates whether the core microbiome can elucidate variations in carbon content and decomposition across different ag...
Machine Learning Algorithms Fungi Fertilizers Soil Microbiology Soil Carbon Bacteria Microbiota
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Au-decorated TiCT/porous carbon immunoplatform for ECM1 breast cancer biomarker detection with machine learning computation for predictive accuracy.

Talanta Jul 4, 2024
Electrochemical immunosensors, surpassing conventional diagnostics, exhibit significant potential for cancer biomarker detection. However, achieving a delicate balance between signal sensitivity and operational stability, especially at the heterostru...
Carbon Electrochemical Techniques Gold Biomarkers, Tumor Humans Biosensing Techniques Machine Learning Immunoassay Female Porosity Breast Neoplasms Extracellular Matrix Proteins Metal Nanoparticles Limit of Detection Titanium
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Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province.

PloS one Jun 25, 2024
Global warming, caused by greenhouse gas emissions, is a major challenge for all human societies. To ensure that ambitious carbon neutrality and sustainable economic development goals are met, regional human activities and their impacts on carbon emi...
China Carbon Global Warming Machine Learning Algorithms Humans Neural Networks, Computer
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Man versus machine: cost and carbon emission savings of 4G-connected Artificial Intelligence technology for classifying species in camera trap images.

Scientific reports Jun 24, 2024
Timely and accurate detection and identification of species are crucial for monitoring wildlife for conservation and management. Technological advances, including connectivity of camera traps to mobile phone networks and artificial intelligence (AI) ...
Cell Phone Animals Cats Carbon Humans Cost Savings Artificial Intelligence Conservation of Natural Resources Algorithms
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