يعرض 1 - 15 نتائج من 15 نتيجة بحث عن '(((( elements ipca algorithm ) OR ( component swarm algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.10s تنقيح النتائج
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

    Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System حسب Abdelbaset Laib (16904688)

    منشور في 2022
    "…An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-IT2FPID+I) using a practical swarm optimization algorithm for a multi-degree-of-freedom oil well drill-string system is proposed in this paper. …"
  10. 10
  11. 11

    Leveraging UAVs for Coverage in Cell-Free Vehicular Networks حسب Samir, Moataz

    منشور في 2020
    "…The terrestrial infrastructure presents itself as a preeminent component in this change. UAVs empowered with artificial intelligence are expected to become an integral component of future smart cities that provide seamless coverage for vehicles on highways with poor cellular infrastructure. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  12. 12

    Defense against adversarial attacks: robust and efficient compressed optimized neural networks حسب Insaf Kraidia (19198012)

    منشور في 2024
    "…To achieve this goal, a novel four-component methodology is introduced. First, introducing a pioneering batch-cumulative approach, the exponential particle swarm optimization (ExPSO) algorithm was developed for meticulous parameter fine-tuning within each batch. …"
  13. 13
  14. 14

    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …"
  15. 15

    Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

    منشور في 2020
    "…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"