Open Access
E3S Web Conf.
Volume 314, 2021
The 6th edition of the International Conference on GIS and Applied Computing for Water Resources (WMAD21)
Article Number 02002
Number of page(s) 5
Section Big-data & Machine Learning
Published online 26 October 2021
  1. North Africa post [Google Scholar]
  2. A. Moumen, et al., L’usage du IoT, Cloud Computing et Big Data spatiale chez les acteurs du secteur de l’eau au Maroc : entre mythe et réalité, in the second edition of the International Congress of ISEE Geomatics, 25-27 March 2019, Palace of Sciences, Monastir – Tunisia (2019) [Google Scholar]
  3. 3ème Edition des Journées Doctorales en Systèmes d’Information, Réseaux et Télécommunication (JDSIRT), ENSIAS, +Université Mohammed V, 12-13 Novembre 2015, Rabat, Maroc (2015) [Google Scholar]
  4. L. Babun et al., Comput. Netw., Volume 192, 108040 (2021) [Google Scholar]
  5. L. Atzori, A. Iera, G. Morabito, Comput. Netw., pp. 2787-2805 (2010) [Google Scholar]
  6. [Google Scholar]
  7. M. Singh and S. Ahmed, IoT based smart water management systems: A systematic review, Materials Today: Proceedings (2020), [Google Scholar]
  8. P. Swetha Reddy et al., Water leakage detection monitoring and controlling system using IoT, IJET 7(2.7), pp. 120-123 (2018) [Google Scholar]
  9. K. Spandana, V.R. Seshagiri, Internet of things (IoT) based smart water quality monitoring system, IJET, 7(3.6), pp. 259–262 (2018) [Google Scholar]
  10. A. S. Punpale and P. B. Borole, Water quality monitoring and control using IoT and industrial automation, IJSTE, 4(12), pp. 133–238 (2018) [Google Scholar]
  11. M. Azeem, A. Haleem, S. Bahl, et al., Big data applications to take up major challenges across manufacturing industries: A brief review, Materials Today: Proceedings, [Google Scholar]
  12. Spark Apache website [Google Scholar]
  13. F. Tao et al., JMS 48, pp. 157–169 (2018) [Google Scholar]
  14. Mittal et al., Proc IMechE Part B: J Engineering Manufacture, 233(5), pp. 1342–1361 (2017) [Google Scholar]
  15. S. Sossi Alaoui, et al., Air pollution prediction through the Internet of Things technology and Big Data Analytics, IJCISTUDIES, Vol. 8, 3 (2019) [Google Scholar]

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