DynPen: Automated Penetration Testing in Dynamic Network Scenarios Using Deep Reinforcement Learning
Abstract: Penetration testing, a crucial industrial practice for securing networked systems and infrastructures, has traditionally depended on the extensive expertise of human professionals.
Abstract: The recognition and tracking of hand gestures are essential elements in human-computer interaction systems, providing intuitive control and facilitating interaction with a wide range of ...
A comprehensive Python toolkit for VMware vRealize Automation 8 automation, featuring a powerful CLI, a fully compliant Model Context Protocol (MCP) server for LLM integration, and a traditional REST ...
The growing sophistication of tumor molecular profiling has helped to slowly transition oncologic care toward a more personalized approach in different tumor types, including in bladder cancer. The ...
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