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A novel hybrid model for bluetooth low energy-based indoor localization using machine learning in the internet of things.

• Authors : GÖRMEZ, Yasin¹ ; ARSLAN, Halil² ; IŞIK, Yunus Emre¹

• Source: Pamukkale University Journal of Engineering Sciences. 2024, Vol. 30 Issue 1, p36-43. 8p.

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A novel indoor localization system using machine learning based on bluetooth low energy with cloud computing.

• Authors : Hu, Quanyi¹ (AUTHOR) ; Wu, Feng² (AUTHOR) ; Wong, Raymond K.³ (AUTHOR)

• Source: Computing. Mar2023, Vol. 105 Issue 3, p689-715. 27p.

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Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning

• Authors : Baejah; Nur Ahmadi; Rahmat Mulyawan

Subjects: Indoor localization; BLE beacons; RSSI

• Source: IEEE Access, Vol 12, Pp 166486-166494 (2024)

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Study of Bluetooth Low Energy as a Contact Tracing Technology

• Authors : Maín Nadal, Aina;

Subjects: Machine Learning; Internet of things; Bluetooth technology

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Evaluating the Dynamics of Bluetooth Low Energy Based COVID-19 Risk Estimation for Educational Institutes

• Authors : Abdulah Jeza Aljohani; Junaid Shuja; Waleed Alasmary

Subjects: BLE; machine learning; classification

• Source: Sensors, Vol 21, Iss 19, p 6667 (2021)

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Accurate real time localization tracking in a clinical environment using Bluetooth Low Energy and deep learning.

• Authors : Iqbal, Zohaib¹; Luo, Da¹; Henry, Peter¹

Subjects: *CLINICAL trials; *BLUETOOTH technology; *DEEP learning

• Source: PLoS ONE. 10/11/2018, Vol. 13 Issue 10, p1-13. 13p.

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Feature selection for proximity estimation in COVID-19 contact tracing apps based on Bluetooth Low Energy (BLE)

• Authors : Madoery, Pablo; Detke, Ramiro; Blanco, Lucas ...

Subjects: machine learning; feature selection; COVID-19

• Source: ISSN: 1574-1192 ; Pervasive and Mobile Computing ; https://hal.archives-ouvertes.fr/hal-03494110 ; Pervasive and Mobile Computing, Elsevier, 2021, 77, pp.101474.

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Improved RSSI Indoor Localization in IoT Systems with Machine Learning Algorithms

• Authors : Madduma Wellalage Pasan Maduranga; Valmik Tilwari; Ruvan Abeysekera

Subjects: internet of things; location-based IoT services; bluetooth low energy

• Source: Signals, Vol 4, Iss 4, Pp 651-668 (2023)

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Improved Particle Filter in Machine Learning-Based BLE Fingerprinting Method to Reduce Indoor Location Estimation Errors.

• Authors : Qian, Jingshi¹ (AUTHOR) ; Li, Jiahe¹ (AUTHOR) ; Komuro, Nobuyoshi² (AUTHOR)

• Source: Future Internet. Jun2024, Vol. 16 Issue 6, p211. 14p.

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Accurate real time localization tracking in a clinical environment using Bluetooth Low Energy and deep learning

• Authors : Hak Choy; Peter Henry; Kenneth D. Westover

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Computer science

• Source: PLoS ONE, Vol 13, Iss 10, p e0205392 (2018)PLoS ONE

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