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Bakker, H., Arunkumar, G., Krishnakumari, P. K., Gromicho, J., Côté, F. L., Lahrichi, N., Jha, P., Shrestha, S., Mulmi, R., Bhusal, N., Stapith, D., Jha, R., Shrestha, L., Naidoo, D., Samuel, R., & del Rio Vilas, V. (2024). Coordination strategies to improve COVID-19 PCR laboratory testing scale up in Nepal: An analysis. PLoS ONE, 19(12), e0314746-e0314746. Disponible
Krishnakumari, P. K., Bakker, H., Lahrichi, N., Côté, F. L., Gromicho, J., Govindakarnavar, A., Jha, P., Shrestha, S., Mulmi, R., Bhusal, N., Stapith, D., Jha, R., Shrestha, L., Samuel, R., Naidoo, D., & Del Rio Vilas, V. (2024). Assessment of geographical accessibility to COVID-19 testing facilities in Nepal (2021). The Lancet Regional Health - Southeast Asia, 27, 100436 (17 pages). Lien externe
Laferrière-Langlois, P., Imrie, F., Geraldo, M.-A., Wingert, T., Lahrichi, N., van der Schaar, M., & Cannesson, M. (2024). Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach. Anesthesia & Analgesia, 139(1), 174-185. Lien externe
Nguyen, N.-D., Gendron, B., & Lahrichi, N. (2024). A parking incentive allocation problem for ridesharing systems. Transportation Research Part C: Emerging Technologies, 166, 104782 (23 pages). Lien externe
Niroumandrad, N., Lahrichi, N., & Lodi, A. (2024). Learning tabu search algorithms: a scheduling application. Computers & Operations Research, 170, 106751 (16 pages). Lien externe
Thompson, J. O., Lahrichi, N., Meyer, P., Mohammadi, M., & Thevenin, S. (juin 2024). A Large Neighborhood Search Metaheuristic for the Stochastic Mixed Model Assembly Line Balancing Problem with Walking Workers [Communication écrite]. 15th International Conference on Metaheuristics (MIC 2024), Lorient, France. Lien externe
