Author:
Elkourchi Anas,El Oualidi Moulay Ali,Ahlaqqach Mustapha
Publisher
Springer Nature Switzerland
Reference21 articles.
1. Benhra, J., Mouatassim, S., Lamrani, S., Ahlaqqach, M.: Closed loop location routing supply chain network design in the end of life pharmaceutical products. Supply Chain Forum Int. J. 21(12), 79–92 (2020)
2. Siddiqui, R., Azmat, M., Ahmed, S., Kummer, S.: A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry. Supply Chain Forum Int. J. (2021). https://doi.org/10.1080/16258312.2021.1967081
3. Shi, B., et al.: Evolutionary warning system for COVID-19 severity: colony predation algorithm enhanced extreme learning machine. Comput. Biol. Med., 104698 (2021)
4. Quintero, Y., Ardila, D., Camargo, E., Rivas, F., Aguilar, J.: Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables. Comput. Biol. Med. 134, 104500 (2021)
5. International Civil Aviation Organization. Economic Impacts of COVID-19 on Civil Aviation. https://www.icao.int/sustainability/Pages/Economic-Impacts-of-COVID-19.aspx. Accessed 29 June 2020
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献