Publications

Export 6 results:
Filters: Keyword is Blood  [Clear All Filters]
2021
M. Z. Wadghiri, Idri, A., et Idrissi, T. E., « Ensemble Regression for Blood Glucose Prediction », Advances in Intelligent Systems and Computing, vol. 1365 AIST, p. 544-554, 2021.
E. T. Idrissi et Idri, A., « Evaluating a Comparing Deep Learning Architectures for Blood Glucose Prediction », Communications in Computer and Information Science, vol. 1400 CCIS, p. 347-365, 2021.
2020
C. Mouncif et Bellabdaoui, A., « Blood collection supply chain management: A critical review and future perspective », in 6th International Conference on Optimization and Applications, ICOA 2020 - Proceedings, 2020.
E. T. Idrissi et Idri, A., « Deep Learning for Blood Glucose Prediction: CNN vs LSTM », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12250 LNCS, p. 379-393, 2020.
E. T. Idrissi, Idri, A., Kadi, I., et Bakkoury, Z., « Strategies of multi-step-ahead forecasting for blood glucose level using LSTM neural networks: A comparative study », in HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020, 2020, p. 337-344.

Partenaires

Localisation

Suivez-nous sur

         

    

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

  Télécopie : (+212) 5 37 68 60 78

  Secrétariat de direction : 06 61 48 10 97

        Secrétariat général : 06 61 34 09 27

        Service des affaires financières : 06 61 44 76 79

        Service des affaires estudiantines : 06 62 77 10 17 / n.mhirich@um5s.net.ma

        CEDOC ST2I : 06 66 39 75 16

        Résidences : 06 61 82 89 77

Contacts

    

    Compteur de visiteurs:634,759
    Education - This is a contributing Drupal Theme
    Design by WeebPal.