AIMC Topic: Models, Theoretical

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Decoupled level and flow rate control of a two-tank system in beverage production: A comparative analysis of Fuzzy-PID and GA-PID for minimum time operation.

PloS one Feb 5, 2025
Due to the nonlinear characteristics of the valves and the interactions between the controlled variables, designing a control system for coupled tanks is a difficult task. This paper deals with the comparative study between Fuzzy-PID and GA-PID contr...
Models, Theoretical Fuzzy Logic Beverages Computer Simulation Algorithms
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Leveraging public AI tools to explore systems biology resources in mathematical modeling.

NPJ systems biology and applications Feb 4, 2025
Predictive mathematical modeling is an essential part of systems biology and is interconnected with information management. Systems biology information is often stored in specialized formats to facilitate data storage and analysis. These formats are ...
Systems Biology Models, Theoretical Software Artificial Intelligence Humans Models, Biological
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Human mobility is well described by closed-form gravity-like models learned automatically from data.

Nature communications Feb 4, 2025
Modeling human mobility is critical to address questions in urban planning, sustainability, public health, and economic development. However, our understanding and ability to model flows between urban areas are still incomplete. At one end of the mod...
Machine Learning Models, Theoretical Humans
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Modeling the latent impacts of extreme floods on indoor mold spores in residential buildings: Application of machine learning algorithms.

Environment international Feb 4, 2025
Floods can severely impact the economy, environment and society. These impacts can be direct and indirect. Past research has focused more on the former impacts. Of the indirect impacts, those on mold growth in indoor environments that affect human re...
Humans Machine Learning Air Pollution, Indoor Fungi Models, Theoretical Algorithms Air Microbiology Cyclonic Storms Floods Housing Spores, Fungal
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Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation.

PloS one Jan 30, 2025
To address the susceptibility of conventional vector control systems for permanent magnet synchronous motors (PMSMs) to motor parameter variations and load disturbances, a novel control method combining an improved Grasshopper Optimization Algorithm ...
Fuzzy Logic Algorithms Models, Theoretical
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Design optimization and predictive modeling for TSS in mega surface WWTPs: A machine learning approach.

Journal of environmental management Jan 29, 2025
Surface wastewater originates from various sources, including domestic, commercial, and industrial activities, and contains a mix of organic and inorganic wastes along with suspended and dissolved solids that require effective treatment. This study p...
Waste Disposal, Fluid Models, Theoretical Water Purification Wastewater Machine Learning
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The global convergence of some self-scaling conjugate gradient methods for monotone nonlinear equations with application to 3DOF arm robot model.

PloS one Jan 24, 2025
Conjugate Gradient (CG) methods are widely used for solving large-scale nonlinear systems of equations arising in various real-life applications due to their efficiency in employing vector operations. However, the global convergence analysis of CG me...
Algorithms Nonlinear Dynamics Models, Theoretical Robotics
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Q-fuzzy structure on JU-algebra.

F1000Research Jan 20, 2025
BACKGROUND: JU-algebras, an important class in abstract algebra, are extended here by incorporating fuzzy set theory to handle uncertainty in algebraic structures. In this study, we apply the concept of Q-fuzzy sets to JU-subalgebras and JU-ideals in...
Mathematics Models, Theoretical Fuzzy Logic Algorithms
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Active Disturbance Rejection Control for an automotive suspension system based on parameter tuning using a fuzzy technique.

PloS one Jan 15, 2025
Road surface roughness is the cause of vehicle vibration, which is considered a system disturbance. Previous studies on suspension system control often ignore the influence of disturbances while designing the controller, leading to system performance...
Vibration Models, Theoretical Humans Computer Simulation Algorithms Automobiles Fuzzy Logic
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A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach.

PloS one Jan 14, 2025
This study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep le...
Airports Deep Learning Wind Aviation Models, Theoretical Humans Forecasting
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