AIMC Journal:
Journal of environmental management

Showing 221 to 230 of 344 articles

The role of artificial intelligence and fintech in promoting eco-friendly investments and non-greenwashing practices in the US market.

Journal of environmental management Apr 27, 2024
This study explores the intricate connections among financial technology (FinTech), artificial intelligence (AI), and eco-friendly markets in the US, shedding light on their dynamic interplay and implications for sustainable investment and policy str...
Artificial Intelligence Conservation of Natural Resources Investments Technology United States
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Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling.

Journal of environmental management Apr 27, 2024
A deep learning architecture, denoted as CNNsLSTM, is proposed for hourly rainfall-runoff modeling in this study. The architecture involves a serial coupling of the one-dimensional convolutional neural network (1D-CNN) and the long short-term memory ...
Japan Rain Hydrology Deep Learning Models, Theoretical Neural Networks, Computer
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Behavioral toxicological tracking analysis of Drosophila larvae exposed to polystyrene microplastics based on machine learning.

Journal of environmental management Apr 26, 2024
Microplastics, as a pivotal concern within plastic pollution, have sparked widespread apprehension due to their ubiquitous presence. Recent research indicates that these minuscule plastic particles may exert discernible effects on the locomotor capab...
Machine Learning Behavior, Animal Drosophila melanogaster Drosophila Animals Microplastics Larva Polystyrenes
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Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine.

Journal of environmental management Apr 26, 2024
Forest fires threaten global ecosystems, socio-economic structures, and public safety. Accurately assessing forest fire susceptibility is critical for effective environmental management. Supervised learning methods dominate this assessment, relying o...
Fires Forests Wildfires Support Vector Machine Supervised Machine Learning China Ecosystem
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Transportation infrastructure upgrading and green development efficiency: Empirical analysis with double machine learning method.

Journal of environmental management Apr 23, 2024
In order to deal with the environmental problems such as pollution emissions and climate change, sustainable development in the field of transportation has gradually become a hot topic to all sectors of society. In addition, promoting the green and l...
Models, Theoretical Climate Change China Cities Sustainable Development Transportation Machine Learning
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Hybrid WT-CNN-GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features.

Journal of environmental management Apr 9, 2024
Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO), are crucial for understanding and assessing the health of aquatic ecosystems. Precise prediction of these indicators is fundamental for the efficient administra...
Neural Networks, Computer Machine Learning Wavelet Analysis Chlorophyll A Environmental Monitoring Water Quality Algorithms Lakes
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Revolutionizing energy practices: Unleashing the power of artificial intelligence in corporate energy transition.

Journal of environmental management Apr 6, 2024
Corporate energy transition is crucial for long-term sustainable development. The widely discussed Artificial Intelligence (AI), as a disruptive technological innovation, is highly potential for enhancing environment performance. However, the specifi...
Government China Commerce Artificial Intelligence Organizations
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Performance evaluation of deep learning based stream nitrate concentration prediction model to fill stream nitrate data gaps at low-frequency nitrate monitoring basins.

Journal of environmental management Apr 1, 2024
Accurate and frequent nitrate estimates can provide valuable information on the nitrate transport dynamics. The study aimed to develop a data-driven modeling framework to estimate daily nitrate concentrations at low-frequency nitrate monitoring sites...
Deep Learning Nitrates Rivers Environmental Monitoring Models, Statistical
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STIRUnet: SwinTransformer and inverted residual convolution embedding in unet for Sea-Land segmentation.

Journal of environmental management Mar 30, 2024
Extraction of coastline from optical remote sensing images is of paramount importance for coastal zone management, erosion monitoring, and intelligent ocean construction. However, nearshore marine environment complexity presents a challenge when capt...
Telemetry Neural Networks, Computer Image Processing, Computer-Assisted Biota
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Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants.

Journal of environmental management Mar 14, 2024
Continuous effluent quality prediction in wastewater treatment processes is crucial to proactively reduce the risks to the environment and human health. However, wastewater treatment is an extremely complex process controlled by several uncertain, in...
Biological Oxygen Demand Analysis Humans Water Purification Neural Networks, Computer Waste Disposal, Fluid Artificial Intelligence
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