A novel approach for risk assessment optimization in big data platforms using smt solvers

HIGHLIGHTS

  • What: To address this complexity, this research proposes a novel approach that leverages the power of Satisfiability Modulo Theories (SMT) solvers. This work provided several important contributions: 1. As a third objective, the paper showed in a quantified form the complexity of the brute force approach and introduced a parametric system for the brute force version. a. b.
  • Who: Sherif M. Saif from the Department, Electronics have published the article: A novel approach for risk assessment optimization in big data platforms using SMT solvers, in the Journal: (JOURNAL)
  • How: This paper presents a . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?