A new web-based e-health platform

Baccar, Noura; Bouallègue, Ridha

doi:10.1109/wimob.2014.6962143

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Wireless localization in indoor environment has attracted a lot of attention in the last few years. This interest is expected to grow further with the proliferation of Wireless Sensor Network (WSN) applications . Localization is a crucial key for sensor networks management and real‐time monitoring.…”

Section: Introductionmentioning

confidence: 99%

“…This interest is expected to grow further with the proliferation of Wireless Sensor Network (WSN) applications. [1][2][3] Localization is a crucial key for sensor networks management and real-time monitoring. In fact, location determination is necessary for many management tasks such as fault detection, 4 location-based routing, 5 and monitoring.…”

Section: Introductionmentioning

confidence: 99%

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Learning ensemble strategy for static and dynamic localization in wireless sensor networks

et al. 2017

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Summary Indoor localization in wireless sensor networks is a challenging task. Static localization and moving target monitoring are addressed using ensemble learning method and received signal strength indicator. The suggested strategy combines several regression trees to have better performance. This solution has been experimentally evaluated using real measurements in an office room. The performance results have been analyzed through a comparison with learning‐based localization algorithms currently available in the literature. The analysis shows that the adopted solution is simple in term of computation, accurate and robust to environmental variation.

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Section: Introductionmentioning

confidence: 99%