AIMC Journal:
Journal of environmental management

Showing 241 to 250 of 344 articles

Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild.

Journal of environmental management Jan 1, 2024
The construction industry generates a substantial volume of solid waste, often destinated for landfills, causing significant environmental pollution. Waste recycling is decisive in managing waste yet challenging due to labor-intensive sorting process...
Construction Materials Construction Industry Deep Learning Solid Waste Waste Management Recycling Industrial Waste
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Effluent parameters prediction of a biological nutrient removal (BNR) process using different machine learning methods: A case study.

Journal of environmental management Dec 30, 2023
This paper proposes a novel targeted blend of machine learning (ML) based approaches for controlling wastewater treatment plant (WWTP) operation by predicting distributions of key effluent parameters of a biological nutrient removal (BNR) process. Tw...
Support Vector Machine Nutrients Algorithms Machine Learning
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A unified deep learning framework for water quality prediction based on time-frequency feature extraction and data feature enhancement.

Journal of environmental management Dec 27, 2023
Deep learning methods exhibited significant advantages in mapping highly nonlinear relationships with acceptable computational speed, and have been widely used to predict water quality. However, various model selection and construction methods result...
Hydrology China Meteorology Water Quality Oxygen Deep Learning
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Combining physical mechanisms and deep learning models for hourly surface ozone retrieval in China.

Journal of environmental management Dec 26, 2023
As surface ozone (O) gains increasing attention, there is an urgent need for high temporal resolution and accurate O monitoring. By taking advantage of the progress in artificial intelligence, deep learning models have been applied to satellite based...
Artificial Intelligence Ozone China Deep Learning Environmental Monitoring Air Pollution Air Pollutants
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Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak.

Journal of environmental management Dec 25, 2023
Loktak Lake, one of the largest freshwater lakes in Manipur, India, is critical for the eco-hydrology and economy of the region, but faces deteriorating water quality due to urbanisation, anthropogenic activities, and domestic sewage. Addressing the ...
Environmental Monitoring Water Quality India Ecosystem Lakes Deep Learning
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A cellular automata model coupled with partitioning CNN-LSTM and PLUS models for urban land change simulation.

Journal of environmental management Dec 21, 2023
Urbanisation is a key aspect of land use change (LUC), and accurately modelling of urban LUC is crucial for sustainable development. Cellular automata (CA) are widely used in LUC research. However, previous studies have overlooked the significant tem...
Urbanization Sustainable Development Neural Networks, Computer Cellular Automata Computer Simulation
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Effects of CO concentration and time on algal biomass film, NO3-N concentration, and pH in the membrane bioreactor: Simulation-based ANN, RSM and NSGA-II.

Journal of environmental management Dec 19, 2023
The practice of aquaculture is associated with the generation of a substantial quantity of effluent. Microalgae must effectively assimilate nitrogen and phosphorus from their surrounding environment for growth. This study modeled the algal biomass fi...
Neural Networks, Computer Bioreactors Hydrogen-Ion Concentration Biomass Carbon Dioxide
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Deep learning, geometric characterization and hydrodynamic modeling for assessing sewer defect impacts on urban flooding: A case study in Guangzhou, China.

Journal of environmental management Dec 5, 2023
Deep learning techniques have offered innovative and efficient tools for accurate and automated detection of sewer defects by leveraging large-scale sewer data and advanced feature learning algorithms. However, there has been a lack of thorough chara...
China Algorithms Floods Deep Learning Hydrodynamics
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Fungal bioleaching of metals from WPCBs of mobile phones employing mixed Aspergillus spp.: Optimization and predictive modelling by RSM and AI models.

Journal of environmental management Nov 15, 2023
In the present study, optimization and prediction models for fungal bioleaching for effective metal extraction from waste printed circuit boards (WPCBs) of mobile phones were developed employing central composite design (CCD) of response surface meth...
Cell Phone Metals Oxalic Acid Aspergillus niger Artificial Intelligence
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Patterns and drivers of carbon stock change in ecological restoration regions: A case study of upper Yangtze River Basin, China.

Journal of environmental management Oct 27, 2023
Balancing ecology and human development has been a long and wide concern. The upper Yangtze River Basin (UYRB) of China has implemented large important ecological restoration projects since the last century. These restoration practices have changed l...
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