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A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss
Research article (2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2021) · cited 11× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-autoencoder-and-rnn-model-for-indoor-localization-with-variable-propagation-loss
MLA“A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-autoencoder-and-rnn-model-for-indoor-localization-with-variable-propagation-loss.
BibTeX@misc{4ortxyz_a-deep-autoencoder-and-rnn-model-for-indoor-localization-with-variable-propagation-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-autoencoder-and-rnn-model-for-indoor-localization-with-variable-propagation-loss}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss — https://4ort.xyz/entity/a-deep-autoencoder-and-rnn-model-for-indoor-localization-with-variable-propagation-loss (retrieved 2026-05-24)
