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Skip search results from other journals and go to results- 2 JMIR Research Protocols
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Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
The Paraschiv-Ionescu (2020) algorithm was not optimized as it contains a data-adaptive threshold. The Brand (2020) algorithm was initially developed specifically for analyzing data from wrist-worn inertial sensors. Consequently, the algorithm remained largely unchanged, except for modifying the training data. Thus, only the optimized version, which involved training the model on the optimization data set, was evaluated.
JMIR Form Res 2024;8:e50035
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Explainability of Convolutional Neural Networks for Dermatological Diagnosis
iproc 2021;7(1):e35437
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