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  1. 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.

  2. 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.

  3. 25 de abr. de 2024 · 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 ...

  4. 25 de abr. de 2024 · Abstract: This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility patterns during epidemics. Understanding how people move during epidemics is essential for modeling the spread of diseases and devising effective ...

  5. 8 de may. de 2024 · May 8, 2024. Abstract. In this paper, we propose a mathematical framework that governs the evolution of epidemic dynam-ics, encompassing both intra-population dynamics and inter-population mobility within a metapopulation network.

  6. 27 de abr. de 2024 · TRANSFORMERS PRIME PREDACONS. Aparece en la serie Transformers Prime, mas específicamente en la temporada Beast Hunters. Shockwave decide clonar a una desaparecida raza de seres que habitó Cybertron. Inicialmente solo lo llamó el “Proyecto Predacon” que traería como resultado al enorme Predaking.

  7. Hace 1 día · While AI and predictive modeling hold great promise for epidemic forecasting, there are also challenges and limitations that researchers must address. One major challenge is the availability and quality of data, as predicting the spread of diseases requires accurate and timely information from multiple sources.