Forecasting vehicle accelerations using LSTM

The purpose of this paper is to forecast vehicle accelerations by using a Long Short Term Memory (LSTM) approach. Such a predictive capability can be particularly helpful in the case of medical emergency vehicles. During emergency transport, a patient is likely to experience vehicle accelerations in...

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Autores principales: Takeyuki ONO, Ryosuke ETO, Junya YAMAKAWA
Formato: article
Lenguaje:EN
Publicado: The Japan Society of Mechanical Engineers 2021
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Acceso en línea:https://doaj.org/article/7d5811d17264484ebc7e02705896877e
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