A deep autoencoder model for pollution map recovery with mobile sensing networks

Research article (Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019) · cited 10× · AI/ML
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A deep autoencoder model for pollution map recovery with mobile sensing networks

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A deep autoencoder model for pollution map recovery with mobile sensing networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A deep autoencoder model for pollution map recovery with mobile sensing networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-autoencoder-model-for-pollution-map-recovery-with-mobile-sensing-networks
MLA “A deep autoencoder model for pollution map recovery with mobile sensing networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-autoencoder-model-for-pollution-map-recovery-with-mobile-sensing-networks.
BibTeX @misc{4ortxyz_a-deep-autoencoder-model-for-pollution-map-recovery-with-mobile-sensing-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep autoencoder model for pollution map recovery with mobile sensing networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-autoencoder-model-for-pollution-map-recovery-with-mobile-sensing-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep autoencoder model for pollution map recovery with mobile sensing networks — https://4ort.xyz/entity/a-deep-autoencoder-model-for-pollution-map-recovery-with-mobile-sensing-networks (retrieved 2026-05-24)

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