AIMC Topic: Carbon

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Deep learning artificial neural network framework to optimize the adsorption capacity of 3-nitrophenol using carbonaceous material obtained from biomass waste.

Scientific reports Aug 30, 2024
The presence of toxic chemicals in water, including heavy metals like mercury and lead, organic pollutants such as pesticides, and industrial chemicals from runoff and discharges, poses critical public health and environmental risks leading to severe...
Neural Networks, Computer Water Purification Biomass Adsorption Carbon Nitrophenols Deep Learning Water Pollutants, Chemical
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Thermodynamics and explainable machine learning assist in interpreting biodegradability of dissolved organic matter in sludge anaerobic digestion with thermal hydrolysis.

Bioresource technology Aug 28, 2024
Dissolved organic matter (DOM) is essential in biological treatment, yet its specific roles remain incompletely understood. This study introduces a machine learning (ML) framework to interpret DOM biodegradability in the anaerobic digestion (AD) of s...
Nitrogen Biodegradation, Environmental Hydrolysis Carbon Anaerobiosis Sewage Thermodynamics Machine Learning Organic Chemicals
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G20 roadmap for carbon neutrality: The role of Paris agreement, artificial intelligence, and energy transition in changing geopolitical landscape.

Journal of environmental management Aug 6, 2024
The rapid advancement of artificial intelligence (AI) in the 21st century is driving profound societal changes and playing a crucial role in optimizing energy systems to achieve carbon neutrality. Most G20 nations have developed national AI strategie...
Artificial Intelligence Agriculture Paris Carbon
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Low-carbon wastewater treatment and resource recovery of recirculating aquaculture system by immobilized chlorella vulgaris based on machine learning optimization.

Bioresource technology Aug 3, 2024
Immobilized microalgae biotechnologies can conserve water and space by low-carbon wastewater treatment and resource recovery in a recirculating aquaculture system (RAS). However, technical process parameters have been unoptimized considering the mutu...
Biomass Aquaculture Carbon Wastewater Water Purification Alginates Cells, Immobilized Chlorella vulgaris Nitrogen Machine Learning Microalgae
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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...
Ecosystem Machine Learning Forests Support Vector Machine China Remote Sensing Technology Soil Carbon Environmental Monitoring
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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...
Decision Making Conservation of Natural Resources Investments Fuzzy Logic Carbon
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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...
Electrochemical Techniques Metal Nanoparticles Machine Learning Limit of Detection Vegetables Copper Bridged Bicyclo Compounds, Heterocyclic Food Contamination Polymers Nitrites Carbon
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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...
Iraq Power Plants Carbon Air Pollution Particulate Matter 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...
Machine Learning China Disclosure Environmental Policy Pilot Projects Carbon
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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...
Denitrification Biotransformation Sulfur Carbon Nitrogen Phosphorus Ecosystem Waste Disposal, Fluid Machine Learning Wastewater
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