AIMC Topic: Models, Theoretical

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Development of a triangular Fermatean fuzzy EDAS model for remote patient monitoring applications.

Scientific reports
Remote Patient Monitoring Systems (RPMS) are vital for tracking patients' health outside clinical settings, such as at home or in long-term care facilities. Wearable sensors play a crucial role in these systems by continuously collecting and transmit...

Real-time human-robot interaction and service provision using hybrid intelligent computing framework.

PloS one
Human-robot interaction has gained significant attention in various domains, including healthcare, customer service, and industrial automation. High computational cost, inefficient service matching, and elevated failure rates in dynamic service conte...

Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach.

PloS one
This study proposes a novel approach to anticipating technology convergence in the bio-healthcare sector by integrating text mining based on transformer models and supervised learning methodologies. The overarching goal is to develop a robust method ...

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

PloS one
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 ...

Adaptive fixed-time fault-tolerant trajectory tracking control for disturbed robotic manipulator.

PloS one
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...

Construction of VAE-GRU-XGBoost intrusion detection model for network security.

PloS one
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...

Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism.

PloS one
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 ...

Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives.

Journal of medical Internet research
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...

Heat loss evaluation for heating building envelope based on relevance vector machine.

PloS one
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...

Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model.

PloS one
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 ...