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Jump to: D | E | H | M | O | S

Number of items: 8.

D

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DEVER, A., POWELL, D., GRAHAM, L., MASON, R., DAS, J., MARSHALL, Steven, VITORIO, R., GODFREY, A. and STUART, S. (2022). Gait Impairment in Traumatic Brain Injury: A Systematic Review. Sensors, 22 (4).

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ENAMAMU, Timibloudi, OTEBOLAKU, Abayomi, MARCHANG, Jims and DANY, Joy (2020). Continuous m-Health Data Authentication Using Wavelet Decomposition for Feature Extraction. Sensors, 20 (19): 5690.

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HOLLOWAY, A., NABOK, A. V., THOMPSON, M., RAY, A. K., CROWTHER, D. and SIDDIQI, J. (2003). New method of vapour discrimination using the thickness shear mode (TSM) resonator. Sensors, 3 (6), 187-191.

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MUNOZ-ORGANERO, Mario, POWELL, Lauren, HELLER, Ben, HARPIN, Val and PARKER, Jack (2019). Using recurrent neural networks to compare movement patterns in ADHD and normally developing children based on acceleration signals from the wrist and ankle. Sensors, 19 (13), p. 2935.

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MUÑOZ-ORGANERO, Mario, POWELL, Lauren, HELLER, Ben, HARPIN, Val and PARKER, Jack (2018). Automatic extraction and detection of characteristic movement patterns in children with ADHD Based on a convolutional neural network (CNN) and acceleration images. Sensors, 18 (11), p. 3924.

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OTEBOLAKU, Abayomi, ENAMAMU, Timibloudi, ALFOUDI, Ali, IKPEHAI, Augustine, MARCHANG, Jims and LEE, Gyu Myoung (2020). Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition using Deep Convolutional Neural Networks. Sensors, 20 (13), e3803.

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SHENFIELD, Alex and HOWARTH, Martin (2020). A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults. Sensors, 20 (18), e5112.

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SLATTERY, Patrick, COFRÉ LIZAMA, L. Eduardo, WHEAT, Jonathan, GASTIN, Paul, DASCOMBE, Ben and MIDDLETON, Kane (2024). The Agreement between Wearable Sensors and Force Plates for the Analysis of Stride Time Variability. Sensors, 24 (11): 3378.

This list was generated on Sun Aug 11 09:14:48 2024 UTC.