Abstract: This study conducts a comprehensive analysis of the performance of Cycle-Consistent Adversarial Networks (CycleGAN) across four distinct unpaired image-to-image translation tasks: ...
Bringing AI agents and multi-modal analysis to SAST dramatically reduces the false positives that plague traditional SAST and rules-based SAST tools.
Abstract: This paper compares sequential and parallel Java and C++ implementations of the B algorithm, a relatively new algorithm for user-equilibrium (UE) (road) traffic assignment (TA). All the ...
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