AIMC Topic: Models, Theoretical

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Research on boundary control of vehicle-mounted flexible manipulator based on partial differential equations.

PloS one Jan 7, 2025
Vehicle-mounted flexible robotic arms (VFRAs) are crucial in enhancing operational capabilities in sectors where human intervention is limited due to accessibility or safety concerns, such as hazardous environments or precision surgery. This paper in...
Robotics Equipment Design Computer Simulation Models, Theoretical Humans Algorithms
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Seismic anisotropy prediction using ML methods: A case study on an offshore carbonate oilfield.

PloS one Jan 7, 2025
Estimating seismic anisotropy parameters, such as Thomson's parameters, is crucial for investigating fractured and finely layered geological media. However, many inversion methods rely on complex physical models with initial assumptions, leading to n...
Anisotropy Oil and Gas Fields Models, Theoretical Support Vector Machine Neural Networks, Computer Machine Learning
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Optimizing LandGEM model parameters using a machine learning method to improve the accuracy of landfill methane gas generation estimates in the United States.

Journal of environmental management Jan 5, 2025
Municipal solid waste (MSW) landfills significantly contribute to global methane gas production, underscoring the critical need for accurate emission gas estimation within an effective gas management strategy. While first-order models such as LandGEM...
Models, Theoretical Environmental Monitoring Air Pollutants Machine Learning United States Methane Waste Disposal Facilities
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Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence.

PloS one Jan 3, 2025
This study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculat...
Carbon Footprint Electricity Power Plants Algorithms Artificial Intelligence Models, Theoretical China Machine Learning Carbon
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Solar energy prediction through machine learning models: A comparative analysis of regressor algorithms.

PloS one Jan 2, 2025
Solar energy generated from photovoltaic panel is an important energy source that brings many benefits to people and the environment. This is a growing trend globally and plays an increasingly important role in the future of the energy industry. Howe...
Machine Learning Temperature Models, Theoretical Solar Energy Algorithms Forecasting
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Different pixel sizes of topographic data for prediction of soil salinity.

PloS one Dec 31, 2024
Modeling techniques can be powerful predictors of soil salinity across various scales, ranging from local landscapes to global territories. This study was aimed to examine the accuracy of soil salinity prediction model integrating ANNs (artificial ne...
Iran Salinity Models, Theoretical Neural Networks, Computer Environmental Monitoring Soil
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A topic modeling approach for analyzing and categorizing electronic healthcare documents in Afaan Oromo without label information.

Scientific reports Dec 30, 2024
Afaan Oromo is a resource-scarce language with limited tools developed for its processing, posing significant challenges for natural language tasks. The tools designed for English do not work efficiently for Afaan Oromo due to the linguistic differen...
Electronic Health Records Models, Theoretical Natural Language Processing Humans Algorithms
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Fault diagnosis of nonlinear analog circuits using generalized frequency response function and LSSVM.

PloS one Dec 30, 2024
A fault diagnosis method of nonlinear analog circuits is proposed that combines the generalized frequency response function (GFRF) and the simplified least squares support vector machine (LSSVM). In this study, the harmonic signal is used as an input...
Least-Squares Analysis Models, Theoretical Nonlinear Dynamics Support Vector Machine Algorithms Computer Simulation
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Fuzzy APPSS: A novel method for quantifying COVID-19 impact in India under triangular spherical fuzzy environment.

Scientific reports Dec 28, 2024
In the current scenario, decision-making models are essential for analyzing real-world problems. To address the dynamic nature of these problems, fuzzy decision-making models have been proposed by various researchers. However, an advanced technique i...
Aged Adult Middle Aged India Female SARS-CoV-2 Humans COVID-19 Decision Making Models, Theoretical Fuzzy Logic
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Modeling and analysis of dengue transmission in fuzzy-fractional framework: a hybrid residual power series approach.

Scientific reports Dec 28, 2024
The current manuscript presents a mathematical model of dengue fever transmission with an asymptomatic compartment to capture infection dynamics in the presence of uncertainty. The model is fuzzified using triangular fuzzy numbers (TFNs) approach. Th...
Algorithms Models, Theoretical Dengue Virus Dengue Fuzzy Logic Humans
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