Neural network models for time series data

Shuochao Yao; Tarek Abdelzaher

doi:10.1007/978-3-031-40787-1_1

Neural network models for time series data

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

A wide range of mobile sensing and computing applications require time-series measurements from such sensors as accelerometers, gyroscopes, and magnetometers to generate inputs for various signal estimation and classification applications (Lane et al., IEEE Commun. Mag., 2010).

Original language	English (US)
Title of host publication	Artificial Intelligence for Edge Computing
Publisher	Springer
Pages	3-25
Number of pages	23
ISBN (Electronic)	9783031407871
ISBN (Print)	9783031407864
DOIs	https://doi.org/10.1007/978-3-031-40787-1_1
State	Published - Dec 21 2023

ASJC Scopus subject areas

General Computer Science
General Engineering

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10.1007/978-3-031-40787-1_1

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abstract = "A wide range of mobile sensing and computing applications require time-series measurements from such sensors as accelerometers, gyroscopes, and magnetometers to generate inputs for various signal estimation and classification applications (Lane et al., IEEE Commun. Mag., 2010).",

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language = "English (US)",

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Neural network models for time series data

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