AIMC Journal:
Journal of environmental management

Showing 171 to 180 of 344 articles

Machine learning-assisted optimization of food-grade spirulina cultivation in seawater-based media: From laboratory to large-scale production.

Journal of environmental management Aug 31, 2024
The shortage of food and freshwater sources threatens human health and environmental sustainability. Spirulina grown in seawater-based media as a healthy food is promising and environmentally friendly. This study used three machine learning technique...
Biomass Spirulina Seawater Machine Learning
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A deep learning classification framework for research methods of marine protected area management.

Journal of environmental management Aug 24, 2024
The latest emerging transdisciplinary marine protected area (MPA) research scheme requires efficient approaches for theoretically based and data-driven method integration. However, due to the rapid development and diversification of research methods,...
Conservation of Natural Resources Natural Language Processing Deep Learning
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Estimating the importance of environmental factors influencing the urban heat island for urban areas in Greece. A machine learning approach.

Journal of environmental management Aug 20, 2024
Machine Learning Greece Cities Hot Temperature
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The circular economy through the prism of machine learning and the YouTube video media platform.

Journal of environmental management Aug 7, 2024
The transition to a Circular Economy (CE) is rapidly gaining ground across countries and industries. It is the means of achieving more sustainable development by adopting innovative environmentally friendly strategies and saving primary resources. Th...
Humans Industry Social Media Sustainable Development Machine Learning
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An integrated deep learning approach for modeling dissolved oxygen concentration at coastal inlets based on hydro-climatic parameters.

Journal of environmental management Aug 7, 2024
Climate change has a significant impact on dissolved oxygen (DO) concentrations, particularly in coastal inlets where numerous human activities occur. Due to the various water quality (WQ), hydrological, and climatic parameters that influence this ph...
Water Quality Climate Change Oxygen Neural Networks, Computer Deep Learning Environmental Monitoring
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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...
Carbon Paris Artificial Intelligence Agriculture
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Interpretable machine learning guided by physical mechanisms reveals drivers of runoff under dynamic land use changes.

Journal of environmental management Jul 26, 2024
Human activities continuously impact water balances and cycling in watersheds, making it essential to accurately identify the responses of runoff to dynamic changes in land use types. Although machine learning models demonstrate promise in capturing ...
Models, Theoretical Machine Learning Hydrology Rivers Environmental Monitoring Humans Agriculture Rain
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Learning a neural network-based soft sensor with double-errors parallel optimization towards effluent variable prediction in wastewater treatment plants.

Journal of environmental management Jul 24, 2024
With the development of machine learning and artificial intelligence (ML/AI) models, data-driven soft sensors, especially the neural network-based, have widespread utilization for the prediction of key water quality indicators in wastewater treatment...
Water Quality Neural Networks, Computer Artificial Intelligence Water Purification Machine Learning Waste Disposal, Fluid Wastewater
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An ensemble model for accurate prediction of key water quality parameters in river based on deep learning methods.

Journal of environmental management Jul 22, 2024
Deep learning models provide a more powerful method for accurate and stable prediction of water quality in rivers, which is crucial for the intelligent management and control of the water environment. To increase the accuracy of predicting the water ...
Environmental Monitoring Phosphorus Water Quality Rivers Deep Learning Models, Theoretical
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A machine learning approach to investigate the impact of land use land cover (LULC) changes on groundwater quality, health risks and ecological risks through GIS and response surface methodology (RSM).

Journal of environmental management Jul 19, 2024
Groundwater resources are enormously affected by land use land cover (LULC) dynamics caused by increasing urbanisation, agricultural and household discharge as a result of global population growth. This study investigates the impact of decadal LULC c...
India Water Quality Bayes Theorem Agriculture Machine Learning Groundwater Humans Geographic Information Systems Environmental Monitoring
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