LLM Agentic Workflow for Automated Vulnerability Detection and Remediation in Infrastructure-as-Code
Abstract: This paper presents a multi-agent, AI-driven strategy employing Large Language Models (LLMs), retrieval-augmented generation, and a continuously updated knowledge base for the detection and ...
Abstract: In this paper, the scheduling of yard cranes (YCs) and external trucks (ETs) working in a U-shaped automated container terminal yard is proposed as a new problem. This problem arises due to ...
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