AI Medical Compendium Journal:
Environmental science and pollution research international

Showing 31 to 40 of 423 articles

An interpretable (explainable) model based on machine learning and SHAP interpretation technique for mapping wind erosion hazard.

Environmental science and pollution research international Nov 15, 2024
Soil erosion by wind poses a significant threat to various regions across the globe, such as drylands in the Middle East and Iran. Wind erosion hazard maps can assist in identifying the regions of highest wind erosion risk and are a valuable tool for...
Machine Learning Soil Wind Support Vector Machine Models, Theoretical Iran Environmental Monitoring
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Enhancing streamflow prediction in a mountainous watershed using a convolutional neural network with gridded data.

Environmental science and pollution research international Nov 9, 2024
In this research, we demonstrate the effectiveness of a convolutional neural network (CNN) model, integrated with the ERA5-Land dataset, for accurately simulating daily streamflow in a mountainous watershed. Our methodology harnesses image-based inpu...
Neural Networks, Computer Seasons
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The hazard analysis of passenger-cargo ferries: a revised risk matrix model based on fuzzy best-worst method.

Environmental science and pollution research international Oct 29, 2024
Improving hazards in maritime transport is essential to maintain the reliability and sustainability of the industry, ensure safety and security, and support global trade and economic growth. This paper is aimed at analyzing the hazards of passenger-c...
Humans Risk Factors Hazard Analysis and Critical Control Points Fuzzy Logic Transportation Taiwan Risk Assessment Models, Theoretical
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Integration of SPEI and machine learning for assessing the characteristics of drought in the middle ganga plain, an agro-climatic region of India.

Environmental science and pollution research international Oct 29, 2024
Drought, as a natural and intricate climatic phenomenon, poses challenges with implications for both natural ecosystems and socioeconomic conditions. Evaluating the characteristics of drought is a significant endeavor aimed at mitigating its impact o...
Droughts India Climate Machine Learning Ecosystem Neural Networks, Computer
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Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?

Environmental science and pollution research international Oct 28, 2024
In this study, several machine learning (ML) models consisting of shallow learning (SL) models (e.g., random forest (RF), K-nearest neighbor (KNN), weighted K-nearest neighbor (WKNN), support vector machine (SVM), artificial neural network (ANN), and...
Particulate Matter Air Pollutants Air Pollution Neural Networks, Computer Machine Learning Forecasting Deep Learning Environmental Monitoring
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From microplastics to pixels: testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification.

Environmental science and pollution research international Oct 24, 2024
Despite the urgent need for accurate and robust observations of microplastics in the marine environment to assess current and future environmental risks, existing procedures remain labour-intensive, especially for smaller-sized microplastics. In addi...
Machine Learning Plastics Oxazines Microplastics Environmental Monitoring Water Pollutants, Chemical
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Traffic noise prediction model using GIS and ensemble machine learning: a case study at Universiti Teknologi Malaysia (UTM) Campus.

Environmental science and pollution research international Oct 12, 2024
This study represents a pioneering effort to integrate geographic information systems (GIS) and ensemble machine learning methods to predict noise levels on a university campus. Three ensemble models including random forest (RF), gradient boosting (G...
Noise, Transportation Environmental Monitoring Universities Malaysia Noise Geographic Information Systems Humans Models, Theoretical Machine Learning
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Considerations for using tree-based machine learning to assess causation between demographic and environmental risk factors and health outcomes.

Environmental science and pollution research international Oct 12, 2024
Evaluation of the heterogeneous treatment effect (HTE) allows for the assessment of the causal effect of a therapy or intervention while considering heterogeneity in individual factors within a population. Machine learning (ML) methods have previousl...
Machine Learning Algorithms Humans Child Bayes Theorem Risk Factors Environmental Exposure Leukemia, Myeloid, Acute
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Multiple remotely sensed datasets and machine learning models to predict chlorophyll-a concentration in the Nakdong River, South Korea.

Environmental science and pollution research international Sep 24, 2024
The Nakdong River is a crucial water resource in South Korea, supplying water for various purposes such as potable water, irrigation, and recreation. However, the river is vulnerable to algal blooms due to the inflow of pollutants from multiple point...
Remote Sensing Technology Rivers Chlorophyll Environmental Monitoring Machine Learning Chlorophyll A Support Vector Machine Republic of Korea
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Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths.

Environmental science and pollution research international Sep 20, 2024
Soil temperature (ST) stands as a pivotal parameter in the realm of water resources and irrigation. It serves as a guide for farmers, enabling them to determine optimal planting and fertilization timings. In the backdrop of regions like Iran, where w...
Temperature Soil Neural Networks, Computer Models, Theoretical Algorithms Iran
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