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This paper highlights that integrating the binary Shuffled Frog Leaping Optimizer with machine learning algorithms significantly improves accuracy, F1 score, precision, and sensitivity in defect prediction.
A hybrid SQLi detection framework is proposed by exploiting structural features at the payload level and contextual embeddings generated by RoBERTa and shows that the combined usage of structural and contextual information provides a more discriminative representation for SQLi detection than using one of the representa...
A novel dynamic community detection framework called Embedded Clustering Boundary Refinement (ECBR), which introduces a boundary-aware refinement mechanism that identifies structurally ambiguous nodes using neighborhood consistency analysis and reassigns them according to embedding-space similarity.
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