AI Medical Compendium Journal:
Environmental science and pollution research international

Showing 41 to 50 of 423 articles

AI-based green technology implementation simulation for achieving carbon neutrality: exploring the role of subsidies and knowledge management.

Environmental science and pollution research international Sep 17, 2024
This study investigates the role of green technology implementation (GTI) based on artificial intelligence (AI) at the household level to achieve carbon neutrality by addressing gaps in the existing research. The research focuses on understanding how...
Carbon Pakistan Humans Artificial Intelligence Conservation of Natural Resources
View on PubMed DOI

Investigating PCB degradation by indigenous fungal strains isolated from the transformer oil-contaminated site: degradation kinetics, Bayesian network, artificial neural networks, QSAR with DFT, molecular docking, and molecular dynamics simulation.

Environmental science and pollution research international Sep 6, 2024
The widespread prevalence of polychlorinated biphenyls (PCBs) in the environment has raised major concerns due to the associated risks to human health, wildlife, and ecological systems. Here, we investigated the degradation kinetics, Bayesian network...
Molecular Docking Simulation Bayes Theorem Soil Pollutants Neural Networks, Computer Polychlorinated Biphenyls Quantitative Structure-Activity Relationship Biodegradation, Environmental Fungi Kinetics Molecular Dynamics Simulation
View on PubMed DOI

Leveraging experimental and computational tools for advancing carbon capture adsorbents research.

Environmental science and pollution research international Sep 3, 2024
CO emissions have been steadily increasing and have been a major contributor for climate change compelling nations to take decisive action fast. The average global temperature could reach 1.5 °C by 2035 which could cause a significant impact on the e...
Adsorption Carbon Sequestration Carbon Carbon Dioxide Machine Learning Climate Change
View on PubMed DOI

Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data.

Environmental science and pollution research international Sep 2, 2024
Precipitation extremes have surged in frequency and duration in recent decades, significantly impacting various sectors, including agriculture, water resources, energy, and public health worldwide. Pakistan, being highly susceptible to climate change...
Machine Learning Agriculture Crops, Agricultural Rain Pakistan Crop Production Climate Change
View on PubMed DOI

Environmental water quality prediction based on COOT-CSO-LSTM deep learning.

Environmental science and pollution research international Aug 28, 2024
Water resource management relies heavily on reliable water quality predictions. Predicting water quality metrics in the watershed system, including dissolved oxygen (DO), is the main emphasis of this work. The enhanced long short-term memory (LSTM) m...
Environmental Monitoring India Water Quality Models, Theoretical Rivers Animals Deep Learning
View on PubMed DOI

Tracking the impact of heavy metals on human health and ecological environments in complex coastal aquifers using improved machine learning optimization.

Environmental science and pollution research international Aug 24, 2024
The rising heavy metal (HM) pollution in coastal aquifers in rapidly urbanizing areas such as Dammam leads to significant risks to public health and environmental sustainability, challenging compliance with Environmental Protection Agency (EPA) guide...
Water Pollutants, Chemical Metals, Heavy Groundwater Environmental Monitoring Humans Machine Learning
View on PubMed DOI

A new attention-based CNN_GRU model for spatial-temporal PM prediction.

Environmental science and pollution research international Aug 23, 2024
Accurately predicting the spatial-temporal distribution of PM is challenging due to missing data and selecting an appropriate modeling method. Effective imputation of missing data must consider the relationships between variables while preserving the...
Air Pollution Particulate Matter Spatio-Temporal Analysis Neural Networks, Computer Environmental Monitoring Machine Learning Air Pollutants
View on PubMed DOI

Utilizing machine learning to classify persistent organic pollutants in the serum of pregnant women: a predictive modeling approach.

Environmental science and pollution research international Aug 21, 2024
Polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs), and per- and poly-fluoroalkyl substances (PFAS) are persistent organic pollutants (POPs) that remain de...
Pregnancy Female Adult Environmental Monitoring Pregnant People Humans Hydrocarbons, Chlorinated Machine Learning Persistent Organic Pollutants Polychlorinated Biphenyls Pesticides
View on PubMed DOI

Coping with the tale of natural resources and environmental inequality: an application of the machine learning tools.

Environmental science and pollution research international Aug 20, 2024
With the rising momentum according to the environmentalist voices seeking climate justice for more equity and the importance of encouraging environmental justice mechanisms and tools, in this perspective, the objective of this study is to analyze in ...
Environment Natural Resources Humans Socioeconomic Factors Algorithms Machine Learning Conservation of Natural Resources
View on PubMed DOI

Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping.

Environmental science and pollution research international Aug 19, 2024
This study was carried out with the aim of applying Condorcet and Borda scoring algorithms based on Game Theory (GT) to determine flood points and Flood Susceptibility Mapping (FSM) based on Machine Learning Algorithms (MLA) including Random Forest (...
Support Vector Machine Supervised Machine Learning Floods Game Theory Iran Machine Learning Algorithms
View on PubMed DOI
Popular Topics
Popular Journals