@inproceedings{d1c19719903248198cead8c7f77fd2f5,
title = "A real-time missing data recovery method using recurrent neural network for multiple transmissions",
abstract = "Data loss and recovery is a critical issue in data transmission. Traditional data recovery methods are impractical for use in real-time systems that require multiple transmissions. To solve this problem, this study proposed a recovery method based on a recurrent neural network, which is then used to build a pre-diction model. When a data gap occurs, the missing data can be recovered immediately using the predicted value. This method distributes the calculation and can immediately recover the data gap. Through a series of experiments, this study optimized different parameters in the neural network, thus optimizing the prediction model.",
keywords = "Missing data recovery, Recurrent neural network, Wearable technology",
author = "Lin, {Bor Shing} and Lin, {Yu Syuan} and Lee, {I. Jung} and Bor-Shyh Lin",
year = "2018",
month = nov,
day = "26",
doi = "10.1007/978-3-030-03745-1_13",
language = "English",
isbn = "9783030037444",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "99--107",
editor = "Pei-Wei Tsai and Akinori Ito and Jain, {Lakhmi C.} and Jain, {Lakhmi C.} and Jeng-Shyang Pan and Jain, {Lakhmi C.}",
booktitle = "Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing",
address = "Germany",
note = "14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 ; Conference date: 26-11-2018 Through 28-11-2018",
}