Walid Aljoby

Proactive failure prediction in self-driving networks can drastically reduce response times and improve system reliability by addressing root causes before they trigger cascading failures.

Structured knowledge representation in SHACR leads to a 36.7% reduction in classification errors and a dramatic F1 score increase to 0.95, challenging the reliance on prompt engineering in IoT automation.