AIMC Topic: Models, Theoretical

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Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Health Care System Administration using Deep Reinforcement Learning.

Disaster medicine and public health preparedness Jul 21, 2025
OBJECTIVES: Large-scale crises, including wars and pandemics, have repeatedly shaped human history, and their simultaneous occurrence presents profound challenges to societies. Understanding the dynamics of epidemic spread during warfare is essential...
Pandemics Computer Simulation Humans Models, Theoretical Reinforcement Machine Learning Warfare Spatio-Temporal Analysis Deep Learning
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Evaluation of food waste treatment techniques using aczel alsina based MAGDM model in the q-rung orthopair fuzzy soft structure.

Scientific reports Jul 18, 2025
Food waste is a major obstacle in managing inequality, optimizing living conditions, and promoting prosperity, specifically among the world's most starving economies. Its influences stretch to preventing food supply; it alters financial maturation, c...
Fuzzy Logic Models, Theoretical Waste Management Food Loss and Waste Food
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Fault analysis of chemical equipment based on an improved hybrid model.

PloS one Jul 18, 2025
The safety and reliability of chemical equipment are crucial to industrial production, as they directly impact production efficiency, environmental protection, and personnel safety. However, traditional fault detection techniques often exhibit limita...
Chemical Industry Algorithms Models, Theoretical
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.

PloS one Jul 17, 2025
Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. This study aims to enhanc...
Support Vector Machine Internet Computer Security Humans Models, Theoretical Group Dynamics
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Modeling impacts of climate-induced yield variability and adaptations on wheat and maize in a sub-tropical monsoon climate - using fuzzy logic.

Scientific reports Jul 16, 2025
Climate change is causing more frequent and extraordinary extreme weather events that are already negatively affecting crop production. There is a need for improved climate risk assessment by developing smart adaptation strategies for sustainable fut...
Rain Bangladesh Adaptation, Physiological Zea mays Temperature Models, Theoretical Climate Change Triticum Seasons Fuzzy Logic Crops, Agricultural
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The intelligent evaluation model of the English humanistic landscape in agricultural industrial parks by the SPEAKING model: From the perspective of fish-vegetable symbiosis in new agriculture.

PloS one Jul 16, 2025
To more accurately capture the expression of the English humanistic landscape in agricultural industrial parks under the emerging agricultural paradigm of fish-vegetable symbiosis, and to address the limitations of unscientific evaluation standards a...
Conservation of Natural Resources Symbiosis Parks, Recreational Fishes Language Animals Agriculture Models, Theoretical Humans
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AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models.

Scientific reports Jul 14, 2025
The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning m...
Waste Disposal, Fluid Models, Theoretical Nitrogen Phosphorus Wastewater Water Purification Artificial Intelligence Biological Oxygen Demand Analysis Machine Learning
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Multi-scale time series prediction model based on deep learning and its application.

PloS one Jul 10, 2025
Time series prediction is a widely used key technology, and traffic flow prediction is its typical application scenario. Traditional time series prediction models such as LSTM (Long Short- Term Memory) and CNN (Convolution Neural Network)-based model...
Humans Models, Theoretical Neural Networks, Computer Deep Learning Time Factors
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Trajectory tracking and obstacle avoidance in dynamic environments using an improved artificial potential field method.

PloS one Jul 10, 2025
Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. Thi...
Motion Models, Theoretical Algorithms Humans Robotics Computer Simulation
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Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory.

PloS one Jul 10, 2025
Multi-objective production scheduling faces the problems of inter-objective conflicts, many uncertainty factors and the difficulty of traditional optimization algorithms to deal with complexity and ambiguity, and there is an urgent need to introduce ...
Humans Fuzzy Logic Algorithms Mathematics Models, Theoretical
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