+Large Dataset by Using Line Graph in Matplotlib

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

VP use is limited by cost and low scalability. Objective: We aimed to show that VPs powered by large language models (LLMs) can generate authentic dialogues, accurately represent patient preferences, ...

IEEE

Fault Classification in Distribution Networks Using Graph Neural Networks and Discrete Stockwell Transform

Abstract: Deep learning models have shown great potential for fault location and classification tasks in distribution systems. Emerging multi-scale data sources such as waveform measurement units, ...

IEEE

Detection of Malicious Clients in Federated Learning Using Graph Neural Network

Abstract: Federated Learning (FL) facilitates decentralized model training without the exchange of raw data, thereby guaranteeing privacy. However, due to its distributed nature, this paradigm is ...

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Taispeáin torthaí dorochtana

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Fault Classification in Distribution Networks Using Graph Neural Networks and Discrete Stockwell Transform

Detection of Malicious Clients in Federated Learning Using Graph Neural Network

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