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Article

6 Citations

3,077 Views

16 Pages

Infrastructure-Free Indoor Pedestrian Tracking with Smartphone Acoustic-Based Enhancement

Chao Liu,
Sining Jiang,
Shuo Zhao and
Zhongwen Guo

Sensors2019, 19(11), 2458;https://doi.org/10.3390/s19112458

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29 May 2019

Indoor pedestrian tracking has been identified as a key technology for indoor location-based services such as emergency locating, advertising, and gaming. However, existing smartphone-based approaches to pedestrian tracking in indoor environments hav...

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Article

3 Citations

5,700 Views

17 Pages

Preprocessing Selection for Deep Learning Classification of Arrhythmia Using ECG Time-Frequency Representations

Rafael Holanda,
Rodrigo Monteiro and
Carmelo Bastos-Filho

Technologies2023, 11(3), 68;https://doi.org/10.3390/technologies11030068

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11 May 2023

The trend of using deep learning techniques to classify arbitrary tasks has grown significantly in the last decade. Such techniques in the background provide a stack of non-linear functions to solve tasks that cannot be solved in a linear manner. Nat...

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