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GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Arc...

GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Arc...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e644fa68e97741c5844a394a243e4d25

GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism

About this item

Full title

GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism

Publisher

Switzerland: MDPI

Journal title

Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5143

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

GPS datasets in the big data regime provide rich contextual information that enable efficient implementation of advanced features such as navigation, tracking, and security in urban computing systems. Understanding the hidden patterns in large amount of GPS data is critically important in ubiquitous computing. The quality of GPS data is the fundame...

Alternative Titles

Full title

GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e644fa68e97741c5844a394a243e4d25

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e644fa68e97741c5844a394a243e4d25

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20185143

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