Ruder, M.C.; Di Bacco, V.E.; Patel, K.; Zheng, R.; Madden, K.; Adili, A.; Kobsar, D.
Augmenting a ResNet + BiLSTM Deep Learning Model with Clinical Mobility Data Helps Outperform a Heuristic Frequency-Based Model for Walking Bout Segmentation. Sensors 2025, 25, 6318.
https://doi.org/10.3390/s25206318
AMA Style
Ruder MC, Di Bacco VE, Patel K, Zheng R, Madden K, Adili A, Kobsar D.
Augmenting a ResNet + BiLSTM Deep Learning Model with Clinical Mobility Data Helps Outperform a Heuristic Frequency-Based Model for Walking Bout Segmentation. Sensors. 2025; 25(20):6318.
https://doi.org/10.3390/s25206318
Chicago/Turabian Style
Ruder, Matthew C., Vincenzo E. Di Bacco, Kushang Patel, Rong Zheng, Kim Madden, Anthony Adili, and Dylan Kobsar.
2025. "Augmenting a ResNet + BiLSTM Deep Learning Model with Clinical Mobility Data Helps Outperform a Heuristic Frequency-Based Model for Walking Bout Segmentation" Sensors 25, no. 20: 6318.
https://doi.org/10.3390/s25206318
APA Style
Ruder, M. C., Di Bacco, V. E., Patel, K., Zheng, R., Madden, K., Adili, A., & Kobsar, D.
(2025). Augmenting a ResNet + BiLSTM Deep Learning Model with Clinical Mobility Data Helps Outperform a Heuristic Frequency-Based Model for Walking Bout Segmentation. Sensors, 25(20), 6318.
https://doi.org/10.3390/s25206318
