AIMC Topic: Models, Theoretical

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Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach.

Journal of environmental management Mar 26, 2025
Analyzing the impacts of climate change (CC) and human activities (HA) on hydrological events is important for water resource management. This study quantifies the impacts of CC and HA on runoff and hydrological drought characteristics (HDC) in the Y...
Rivers Climate Change Droughts Models, Theoretical Hydrology Humans Machine Learning Environmental Monitoring China
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The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence.

Scientific reports Mar 22, 2025
Aiming at the optimization of public sports service quality, this study analyzes the public sports service data deeply by constructing a supervised learning model. Firstly, the theoretical framework of this study is established. Secondly, the technic...
Supervised Machine Learning Sports Humans Artificial Intelligence Models, Theoretical
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Cluster-based downscaling of precipitation using Kolmogorov-Arnold Neural Networks and CMIP6 models: Insights from Oman.

Journal of environmental management Mar 20, 2025
Accurate precipitation predictions are crucial for addressing climate change impacts on water resources, especially in arid regions like Oman. Therefore, this study evaluates three machine learning models-Random Forest (RF), Multilayer Perceptron Neu...
Forecasting Models, Theoretical Seasons Climate Change Neural Networks, Computer Machine Learning Rain Oman
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Evaluating the change and trend of construction land in Changsha City based GeoSOS-FLUS model and machine learning methods.

Scientific reports Mar 20, 2025
This study systematically analyzes the land use changes in Changsha City from 2000 to 2023. Three classification models-Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and Artificial Neural Network (ANN) were employed to evaluate the accu...
Urbanization China Environmental Monitoring Neural Networks, Computer Cities Models, Theoretical Conservation of Natural Resources Machine Learning
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A hybrid vine copula-fuzzy model for groundwater level simulation under uncertainty.

Environmental monitoring and assessment Mar 17, 2025
Accurate simulation of groundwater level is crucial for the sustainable management of water resources. However, the numerous uncertainties in input data, simulation model parameters, and physical processes, as well as the dependency between system va...
Fuzzy Logic Uncertainty Groundwater Environmental Monitoring Models, Theoretical
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Multi-agent large language model frameworks: Unlocking new possibilities for optimizing wastewater treatment operation.

Environmental research Mar 14, 2025
Wastewater treatment plants (WWTPs) are highly complex systems where biological, chemical, and physical processes interact dynamically, creating significant operational challenges. Traditional modeling approaches, such as Activated Sludge Models (ASM...
Wastewater Models, Theoretical Sewage Large Language Models Water Purification Waste Disposal, Fluid
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Developing a seasonal-adjusted machine-learning-based hybrid time‑series model to forecast heatwave warning.

Scientific reports Mar 13, 2025
Heatwaves pose a significant threat to environmental sustainability and public health, particularly in vulnerable regions and rapidly growing cities. They cause water shortages, stress on plants, and an overall drying out of landscapes, reducing plan...
Models, Theoretical Seasons Algorithms Forecasting Hot Temperature Extreme Heat Humans Machine Learning
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Toward a conceptual model to improve the user experience of a sustainable and secure intelligent transport system.

Acta psychologica Mar 12, 2025
The rapid advancement of automotive technologies has spurred the development of innovative applications within intelligent transportation systems (ITS), aimed at enhancing safety, efficiency and sustainability. These applications, such as advanced dr...
Humans Artificial Intelligence Models, Theoretical Transportation Automobile Driving Cloud Computing
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A fuzzy robust optimization model for dual objective forward and reverse logistics networks considering carbon emissions.

PloS one Mar 11, 2025
The inherent unpredictability within the low-carbon integrated supply chain logistics network complicates its management. This paper endeavours to address the challenge of designing a low-carbon logistics network within a context of uncertainty and w...
Carbon Models, Theoretical Fuzzy Logic Algorithms Computer Simulation
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Application and design of a decision-making model in ethical dilemma for self-driving cars.

Scientific reports Mar 10, 2025
Artificial intelligence (AI) has promoted application and development of self-driving cars. However, when self-driving cars encounter ethical dilemma, it is still hard to make a satisficing and clear decision-making by these present moral rules and m...
Artificial Intelligence Models, Theoretical Decision Making Ethical Dilemmas Automobiles Bayes Theorem Humans Automobile Driving
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