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A New Approach to Evaluate and Predict System Obsolescence: Mathematical FormulationBen Amar M., Bouguecha A., Ghorbel E., El Mahi A., Chaari F., Haddar M. (eds). Advances in Materials, Mechanics and Manufacturing II, Springer International Publishing, pp.141-149, 2022, Lecture Notes in Mechanical Engineering, ⟨10.1007/978-3-030-84958-0_15⟩
Book sections
hal-03351806v1
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FMECA-Based Risk Assessment Approach for Proactive Obsolescence ManagementFelix Nyffenegger; José Ríos; Louis Rivest; Abdelaziz Bouras. Product Lifecycle Management Enabling Smart X Enabling Smart X 17th IFIP WG 5.1 International Conference, PLM 2020, Rapperswil, Switzerland, July 5–8, 2020, Revised Selected Papers, 594, Springer International Publishing, pp.215-226, 2020, IFIP Advances in Information and Communication Technology, ⟨10.1007/978-3-030-62807-9_18⟩
Book sections
hal-03082753v1
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Prediction of obsolescence degree as a function of time: A mathematical formulationComputers in Industry, 2021, 129, pp.103470. ⟨10.1016/j.compind.2021.103470⟩
Journal articles
hal-03209905v1
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Sensor-based Activity Recognition using Deep Learning: A Comparative StudyMOCO '22: 8th International Conference on Movement and Computing, Jun 2022, Chicago, United States. pp.1-8, ⟨10.1145/3537972.3537996⟩
Conference papers
hal-03711295v1
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