AIMC Topic: Models, Theoretical

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Dynamics of infectious disease mathematical model through unsupervised stochastic neural network paradigm.

Computational biology and chemistry Nov 28, 2024
The viruses has spread globally and have been impacted lives of people socially and economically, which causes immense suffering throughout the world. Thousands of people died and millions of illnesses were brought, by the outbreak worldwide. In orde...
Models, Theoretical Stochastic Processes COVID-19 Communicable Diseases Humans Neural Networks, Computer
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A hybrid model for monthly runoff forecasting based on mixed signal processing and machine learning.

Environmental science and pollution research international Nov 28, 2024
Monthly runoff forecasting plays a critically supportive role in water resources planning and management. Various signal decomposition techniques have been widely applied to enhance the accuracy of monthly runoff forecasting. However, the forecasting...
Machine Learning Water Movements Models, Theoretical Environmental Monitoring Algorithms Forecasting
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The research explores the predictive capacity of the shear strength of reinforced concrete walls with different cross-sectional shapes using the XGBoost model.

PloS one Nov 27, 2024
Structurally, the lateral load-bearing capacity mainly depends on reinforced concrete (RC) walls. Determination of flexural strength and shear strength is mandatory when designing reinforced concrete walls. Typically, these strengths are determined t...
Models, Theoretical Bayes Theorem Shear Strength Materials Testing Machine Learning Construction Materials Algorithms
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An integrated approach to a predictive and ranking model of use error using fuzzy BWM and fuzzy TOPSIS.

International journal of occupational safety and ergonomics : JOSE Nov 23, 2024
Avoiding error in handling artifacts is crucial for achieving a high level of system reliability and safety assessment. This study develops a predictive and ranking model of use error (PRUE). In the first phase, use errors are systematically detected...
Humans Fuzzy Logic Ventilators, Mechanical Reproducibility of Results Models, Theoretical Artifacts
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Medical language model specialized in extracting cardiac knowledge.

Scientific reports Nov 23, 2024
The advent of the Transformer has significantly altered the course of research in Natural Language Processing (NLP) within the domain of deep learning, making Transformer-based studies the mainstream in subsequent NLP research. There has also been co...
Knowledge Cardiology Language Natural Language Processing Models, Theoretical Databases as Topic
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An improved trajectory tracking control of quadcopter using a novel Sliding Mode Control with Fuzzy PID Surface.

PloS one Nov 21, 2024
This paper presents Super Twisting Sliding Mode Control with a novel Fuzzy PID Surface for improved trajectory tracking of quadrotor unmanned aerial vehicles under external disturbances. First, quadrotor dynamic model with six degrees of freedom (6-D...
Fuzzy Logic Unmanned Aerial Devices Computer Simulation Models, Theoretical Algorithms
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Construction of interpretable ensemble learning models for predicting bioaccumulation parameters of organic chemicals in fish.

Journal of hazardous materials Nov 20, 2024
Accurate prediction of bioaccumulation parameters is essential for assessing exposure, hazards, and risks of chemicals. However, the majority of prediction models on bioaccumulation parameters are individual models based on a single algorithm and lac...
Bioaccumulation Fishes Ensemble Learning Animals Organic Chemicals Models, Theoretical Water Pollutants, Chemical Machine Learning Algorithms
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Fuzzy multi-objective optimization for sustainable agricultural water management of irrigation networks.

Journal of environmental management Nov 20, 2024
Sustainable water resource management in arid and water deficit regions requires optimal use of water resources due to competition among different water sectors. The purpose of this study is to model uncertainties in economic and hydro-climatic varia...
Fertilizers Water Supply Fuzzy Logic Models, Theoretical Iran Nitrates Agriculture Groundwater Agricultural Irrigation
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Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas.

Water research Nov 19, 2024
Urban flooding has become a prevalent issue in cities worldwide. Urban flood dynamics differ significantly from those in natural watersheds, primarily because of the intricate drainage systems and the high spatial heterogeneity of urban surfaces, whi...
Cities Models, Theoretical Floods Computer Simulation Deep Learning
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Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed.

Journal of environmental management Nov 19, 2024
Prediction and quantification of nutrient concentrations in surface water has gained substantial attention during recent decades because excess nutrients released from agricultural and urban watersheds can significantly deteriorate surface water qual...
Machine Learning Water Nutrients Phosphorus Water Quality Agriculture Models, Theoretical
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