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Soft information for localization-of-things 

Conti, A.; Mazuelas, S.Autoridad BCAM; Bartoletti, S.; Lindsey, W.C; Win, M. (2019-11-01)
Location awareness is vital for emerging Internetof- Things applications and opens a new era for Localizationof- Things. This paper first reviews the classical localization techniques based on single-value metrics, such ...
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Crowd-Centric Counting via Unsupervised Learning 

Morselli, F.; Bartoletti, S.; Mazuelas, S.Autoridad BCAM; Win, M.; Conti, A. (2019-07-11)
Counting targets (people or things) within a moni-tored area is an important task in emerging wireless applications,including those for smart environments, safety, and security.Conventional device-free radio-based ...
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Belief Condensation Filtering For Rssi-Based State Estimation In Indoor Localization 

Mehryary, S.; Mazuelas, S.Autoridad BCAM; Malekzadehz, P.; Spachos, P.; Plataniotisy, K.N.; Mohammadi, A. (2019)
Recent advancements in signal processing and communication systems have resulted in evolution of an intriguing concept referred to as Internet of Things (IoT). By embracing the IoT evolution, there has been a surge of ...

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Author
Mazuelas, S. (3)
Bartoletti, S. (2)Conti, A. (2)Win, M. (2)Lindsey, W.C (1)Malekzadehz, P. (1)Mehryary, S. (1)Mohammadi, A. (1)Morselli, F. (1)Plataniotisy, K.N. (1)... másSubjectState Estimation, Belief Condensation, Bluetooth low energy (BLE), Indoor Localization, Internet of Things. (1)... másFecha
2019 (3)

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