AIMC Topic: Models, Theoretical

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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function.

PloS one Jun 26, 2025
Rolling bearings are the core transmission components of large-scale rotating machinery such as wind power gearboxes and aviation engines, so timely and effective monitoring and diagnosis of their status are crucial to ensure the stable operation of ...
Humans Algorithms Noise Signal-To-Noise Ratio Models, Theoretical Deep Learning
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Adaptive fixed-time fault-tolerant trajectory tracking control for disturbed robotic manipulator.

PloS one Jun 25, 2025
This article introduces a fixed-time trajectory control method for robotic manipulators, aimed at improving trajectory precision despite external disturbances, actuator faults, and uncertainties. Initially, a fast fixed-time nonsingular terminal slid...
Computer Simulation Models, Theoretical Algorithms Robotics
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Construction of VAE-GRU-XGBoost intrusion detection model for network security.

PloS one Jun 25, 2025
With the advent of the big data era, the threat of network security is becoming increasingly severe. In order to cope with complex network attacks and ensure network security, a network intrusion detection model is constructed relying on deep learnin...
Models, Theoretical Computer Communication Networks Deep Learning Humans Boosting Machine Learning Algorithms Algorithms Computer Security
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Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism.

PloS one Jun 24, 2025
Improving translation quality and efficiency is one of the key challenges in the field of Natural Language Processing (NLP). This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with ...
Natural Language Processing Translations Models, Theoretical Translating Humans Language Algorithms
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Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: Large language models (LLMs) can support health care professionals in their daily work, for example, when writing and filing reports or communicating diagnoses. With the rise of LLMs, current research investigates how LLMs could be applie...
Large Language Models Language Models, Theoretical Delivery of Health Care Humans
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Heat loss evaluation for heating building envelope based on relevance vector machine.

PloS one Jun 18, 2025
Due to the influence of many factors, there is no reasonable evaluation method for the heat loss evaluation of the envelope, which leads to the deviation of the evaluation results of building energy consumption. By comparing different regression anal...
Support Vector Machine Models, Theoretical Heating Regression Analysis Hot Temperature
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Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model.

PloS one Jun 18, 2025
Monitoring the status of circular saw blades is an effective measure to ensure the production efficiency and safety of spent fuel assembly cutting. However, the prediction of wear during the cutting of stainless steel shells of spent fuel assemblies ...
Stainless Steel Neural Networks, Computer Models, Theoretical Algorithms Generative Adversarial Networks
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A model of mobile robots in networks with resolvability properties.

PloS one Jun 17, 2025
A model for mobility of robots keeping the property of uniquely recognizing the vertices of a given network is considered in this work. This is made in order to detect failures or intruders, by means of dynamic vectors of distances to the set of mobi...
Models, Theoretical Robotics Algorithms
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Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling.

PloS one Jun 11, 2025
Natural gas (NG) is relatively a clean source of energy, particularly compared to fossil fuels, and worldwide consumption of NG has been increasing almost linearly in the last two decades. A similar trend can also be seen in Turkey, while another sim...
Machine Learning Forecasting Humans Cities Natural Gas Models, Theoretical Turkey
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Enhanced pedestrian trajectory prediction via overlapping field-of-view domains and integrated Kolmogorov-Arnold networks.

PloS one Jun 9, 2025
Accurate pedestrian trajectory prediction is crucial for applications such as autonomous driving and crowd surveillance. This paper proposes the OV-SKTGCNN model, an enhancement to the Social-STGCNN model, aimed at addressing its low prediction accur...
Models, Theoretical Neural Networks, Computer Pedestrians Humans Algorithms Walking
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