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25 de abr. de 2024 · Contribution. In this paper, we provide a comprehensive overview of recent research endeavors aimed at leveraging machine learning techniques, specifically Transformer models, to enhance the prediction of human mobility patterns in the context of epidemics.
First, the epidemic thresholds we obtain are deterministic, and second, great accuracy is found even for small systems. Future investigations on this topic should involve more complex human ...
25 de abr. de 2024 · A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs. This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility patterns during epidemics.
31 de ago. de 2021 · Corona Virus Disease 2019 (COVID-19) has spread rapidly to countries all around the world from the end of 2019, which caused a great impact on global health and has had a huge impact on many ...
9 de nov. de 2023 · [Submitted on 9 Nov 2023] GeoFormer: Predicting Human Mobility using Generative Pre-trained Transformer (GPT) Aivin V. Solatorio. Predicting human mobility holds significant practical value, with applications ranging from enhancing disaster risk planning to simulating epidemic spread.
A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs. A range of approaches utilizing both pretrained language models like BERT and Large Language Models (LLMs) tailored specifically for mobility prediction tasks are reviewed, demonstrating significant potential in capturing complex spatio-temporal ...
A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs. This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility patterns during epidemics.
