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Assi, P., Achiche, S., & Laberge Lebel, L. (2023). Application of graph theory for detecting carriers' collisions in braiding machines. International Journal of Advanced Manufacturing Technology, 126(5-6), 2337-2348. Lien externe
Assi, P., Achiche, S., & Laberge Lebel, L. (2023). Application of graph theory for preventing carriers' collisions in variable path braiding machines. International Journal of Advanced Manufacturing Technology, 126(9-10), 4581-4589. Lien externe
Behidj, A., Achiche, S., & Mohebbi, A. (juillet 2023). Upper-Limb Rehabilitation of Patients with Neuromotor Deficits Using Impedance-Based Control of a 6-DOF Robot [Communication écrite]. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference (EMBC 2023), Sydney, Australia (4 pages). Lien externe
Gamache, J.-F., Vadean, A., Capo, M., Rochefort-Beaudoin, T., Dodane, N., & Achiche, S. (2023). Complexity-driven layout exploration for aircraft structures. Design Science, 9, 34 pages. Lien externe
Gesta, A., Achiche, S., & Mohebbi, A. (2023). Design considerations for the development of lower limb pediatric exoskeletons a literature review. IEEE Transactions on Medical Robotics and Bionics, 5(4), 768-779. Lien externe
Leblond-Menard, C., & Achiche, S. (2023). Non-Intrusive Real Time Eye Tracking Using Facial Alignment for Assistive Technologies. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 954-961. Lien externe
Rochefort-Beaudoin, T., Vadean, A., Gamache, J.-F., & Achiche, S. (2023). Supervised deep learning for the moving morphable components topology optimization framework. Engineering Applications of Artificial Intelligence, 123, 15 pages. Lien externe
Samadi, B., Raison, M., Mahaudens, P., Detrembleur, C., & Achiche, S. (2023). Development of machine learning algorithms to identify the Cobb angle in adolescents with idiopathic scoliosis based on lumbosacral joint efforts during gait (case study). Electronic & Electrical Engineering Research Studies. Pattern Recognition and Image Processing Series, 1(1), 30 pages. Non disponible
Samadi, B., Raison, M., Mahaudens, P., Detrembleur, C., & Achiche, S. (2023). A preliminary study in classification of the severity of spine deformation in adolescents with lumbar/thoracolumbar idiopathic scoliosis using machine learning algorithms based on lumbosacral joint efforts during gait. Computer Methods in Biomechanics and Biomedical Engineering, 26(11), 1341-1352. Lien externe
