يعرض 1 - 10 نتائج من 19 نتيجة بحث عن '"Trad, Fouad"', وقت الاستعلام: 0.85s تنقيح النتائج
  1. 1
    مؤتمر
    Assessing the Effectiveness of Siamese Neural Networks to Mitigate Frequent Retraining in IoT Device Identification Models

    المؤلفون: Trad, Fouad, Hussein, Ali, Chehab, Ali

    المصدر: 2023 International Conference on Platform Technology and Service (PlatCon) Platform Technology and Service (PlatCon), 2023 International Conference on. :47-52 Aug, 2023

    Relation: 2023 International Conference on Platform Technology and Service (PlatCon)

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  2. 2
    تقرير
    Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications

    المؤلفون: Trad, Fouad, Chehab, Ali

    مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security, Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2403.17787

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  3. 3
    مؤتمر
    Using Siamese Neural Networks for Efficient and Accurate IoT Device Identification

    المؤلفون: Trad, Fouad, Hussein, Ali, Chehab, Ali

    المصدر: 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC) Fog and Mobile Edge Computing (FMEC), 2022 Seventh International Conference on. :1-7 Dec, 2022

    Relation: 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC)

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  4. 4
    مؤتمر
    Free Text Keystroke Dynamics-based Authentication with Continuous Learning: A Case Study

    المؤلفون: Trad, Fouad, Hussein, Ali, Chehab, Ali

    المصدر: 2022 IEEE 21st International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS) IUCC/CIT/DSCI/SMARTCNS Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS), 2022 IEEE 21st International Conference on. :125-131 Dec, 2022

    Relation: 2022 IEEE 21st International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)

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  5. 5
    مؤتمر
    Towards Using Deep Reinforcement Learning for Better COVID-19 Vaccine Distribution Strategies

    المؤلفون: Trad, Fouad, El Falou, Salah

    المصدر: 2022 7th International Conference on Data Science and Machine Learning Applications (CDMA) CDMA Data Science and Machine Learning Applications (CDMA), 2022 7th International Conference on. :7-12 Mar, 2022

    Relation: 2022 7th International Conference on Data Science and Machine Learning Applications (CDMA)

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  6. 6
    مؤتمر
    Forecast Analysis of the COVID-19 Incidence in Lebanon: Prediction of Future Epidemiological Trends to Plan More Effective Control Programs

    المؤلفون: El Falou, Salah, Trad, Fouad

    المصدر: 2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Advances in Biomedical Engineering (ICABME), 2021 Sixth International Conference on. :135-140 Oct, 2021

    Relation: 2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)

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  7. 7
    تقرير
    Forecast Analysis of the COVID-19 Incidence in Lebanon: Prediction of Future Epidemiological Trends to Plan More Effective Control Programs

    المؤلفون: Falou, Salah El, Trad, Fouad

    مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Computers and Society

    URL الوصول: http://arxiv.org/abs/2105.04848

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  8. 8
    دورية أكاديمية
    Testing Different COVID-19 Vaccination Strategies Using an Agent-Based Modeling Approach

    المؤلفون: Trad, FouadAff1, IDs42979022011996_cor1, El Falou, SalahAff1, Aff2

    المصدر: SN Computer Science. 3(4)

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
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  9. 9
    دورية أكاديمية
    Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models.

    المؤلفون: Trad, Fouad, Chehab, Ali

    المصدر: Machine Learning & Knowledge Extraction; Mar2024, Vol. 6 Issue 1, p367-384, 18p

    مصطلحات موضوعية: LANGUAGE models, UNIFORM Resource Locators, PHISHING, MACHINE learning, ENGINEERING

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  10. 10
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

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