1. Embedded application of convolutional neural networks on Raspberry Pi for SHM. Issue 11 (1st May 2018) Authors: Monteiro, A.; de Oliveira, M.; de Oliveira, R.; da Silva, T. Journal: Electronics letters Issue: Volume 54:Issue 11(2018) Page Start: 680 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Predicting recovery in patients with acute low back pain: A Clinical Prediction Model. (20th January 2017) Authors: da Silva, T.; Macaskill, P.; Mills, K.; Maher, C.; Williams, C.; Lin, C.; Hancock, M.J. Journal: European journal of pain Issue: Volume 21:Number 4(2017) Page Start: 716 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Recurrence of low back pain: A difficult outcome to predict. Development and validation of a multivariable prediction model for recurrence in patients recently recovered from an episode of non-specific low back pain. (April 2023) Authors: Pocovi, N.C.; Kent, P.; Lin, C.-W.C.; French, S.D.; de Campos, T.F.; da Silva, T.; Hancock, M.J. Journal: Musculoskeletal science and practice Issue: Volume 64(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. The feasibility of the application of the accelerated surgical recovery protocol (PROSM) in patients undergoing thoracic surgical procedures. (June 2019) Authors: Gomes, A.O.; Ramos, W.R.; da Silva, T.; Cavalcante, M.G.; Abrão, F.C.; de Abreu, I.R.L.B. Journal: Clinical nutrition ESPEN Issue: Volume 31(2019) Page Start: 138 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗