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Showing 1 - 5 results of 5 for search '(( algorithm ((hardening function) OR (python function)) ) OR ( algorithm cl function ))', query time: 0.08s Refine Results
  1. 1
    New aspect-oriented constructs for security hardening concerns

    New aspect-oriented constructs for security hardening concerns by Mourad, Azzam

    Published 2009
    “…They allow to analyze a program's call graph in order to determine how to change function signatures for passing the parameters associated with a given security hardening. …”
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  2. 2
    New primitives to AOP weaving capabilities for security hardening concerns

    New primitives to AOP weaving capabilities for security hardening concerns by Mourad, Azzam

    Published 2007
    “…They allow to analyze a program’s call graph in order to determine how to change function signatures for the passing of parameters associated with a given security hardening. …”
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  3. 3
    Common weaving approach in mainstream languages for software security hardening

    Common weaving approach in mainstream languages for software security hardening by Alhadidi, Dima

    Published 2013
    “…In this paper, we propose a novel aspect-oriented approach based on GIMPLE, a language-independent and a tree-based representation generated by the GNU Compiler Collection (GCC), for the systemization of application security hardening. The security solutions are woven into GIMPLE representations in a systematic way, eliminating the need for manual hardening that might generate a considerable number of errors. …”
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  4. 4
    Nouveaux points de coupure et primitives pour les préoccupations de renforcement de sécurité

    Nouveaux points de coupure et primitives pour les préoccupations de renforcement de sécurité by Mourad, Azzam

    Published 2009
    “…They allow to analyze a program’s call graph in order to determine how to change function signatures for the passing of parameters associated with a given security hardening. …”
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  5. 5
    Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle

    Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle by Reza Jafari (3494018)

    Published 2025
    “…Furthermore, the reduction in sideslip angle, excellent traction through minimizing tire slip ratio, avoiding oversteering and understeering, and maintaining an acceptable range of energy optimization are demonstrated for DRL controllers, especially for the TD3 and CL TD3 algorithms.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of Vehicular Technology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojvt.2025.3606120" target="_blank">https://dx.doi.org/10.1109/ojvt.2025.3606120</a></p>…”
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