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How Near Is Near: A Case Study of the Minimum Distance to Distinguish Neighbouring Places in Place Learning Using Wi-Fi Signals.

, , and . VTC Spring, page 1-5. IEEE, (2016)

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Blind Image Blur Assessment Based on Markov-Constrained FCM and Blur Entropy., , , and . ICIP, page 4519-4523. IEEE, (2019)An Ontology-Based Reasoning Framework for Context-Aware Applications., , , and . CONTEXT, volume 9405 of Lecture Notes in Computer Science, page 471-476. Springer, (2015)An Experimental Investigation of Indoor Localization by Unsupervised Wi-Fi Signal Clustering, , and . 2012 Future Network & Mobile Summit, page 1-10. Berlin, Germany, IEEE, (July 2012)Comparing the Performance of Wi-Fi Fingerprinting Using the 2.4 GHz and 5 GHz Signals., , and . VTC Spring, page 1-5. IEEE, (2018)The Influence of Fast Fading and Device Heterogeneity on Wi-Fi Fingerprinting., , and . VTC Spring, page 1-5. IEEE, (2018)An Ontology-Based Reasoning Framework for Context-Aware Applications., , , and . CoRR, (2018)When Indoor Localization Meets New Communication Technologies., and . VTC Fall, page 1-4. IEEE, (2019)An experimental investigation of indoor localization by unsupervised Wi-Fi signal clustering., , , and . Future Network & Mobile Summit, page 1-10. IEEE, (2012)WHERE: An Autonomous Localization System with Optimized Size of the Fingerprint Database., and . CONTEXT, volume 9405 of Lecture Notes in Computer Science, page 544-550. Springer, (2015)Novel indoor localisation using an unsupervised Wi-Fi signal clustering method., , and . Future Network & Mobile Summit, page 1-8. IEEE, (2011)