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Indoor tracking trajectory data similarity analysis with a deep convolutional autoencoder

Research article (Sustainable Cities and Society, 2018) · cited 18× · AI/ML
academia openalex:W2906350708
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Indoor tracking trajectory data similarity analysis with a deep convolutional autoencoder

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Indoor tracking trajectory data similarity analysis with a deep convolutional autoencoder is a scholarly article[1].

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  • Indoor tracking trajectory data similarity analysis with a deep convolutional autoencoder's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Indoor tracking trajectory data similarity analysis with a deep convolutional autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/indoor-tracking-trajectory-data-similarity-analysis-with-a-deep-convolutional-autoencoder
MLA “Indoor tracking trajectory data similarity analysis with a deep convolutional autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/indoor-tracking-trajectory-data-similarity-analysis-with-a-deep-convolutional-autoencoder.
BibTeX @misc{4ortxyz_indoor-tracking-trajectory-data-similarity-analysis-with-a-deep-convolutional-autoencoder_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Indoor tracking trajectory data similarity analysis with a deep convolutional autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/indoor-tracking-trajectory-data-similarity-analysis-with-a-deep-convolutional-autoencoder}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Indoor tracking trajectory data similarity analysis with a deep convolutional autoencoder — https://4ort.xyz/entity/indoor-tracking-trajectory-data-similarity-analysis-with-a-deep-convolutional-autoencoder (retrieved 2026-05-24)

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