AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 6 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Performance evaluation using metrics such as accuracy, precision, recall, F1-score, and AUC shows that AI models outperform traditional approaches by enhancing prediction capability and reducing manual intervention.
An AI-Driven Business Resilience Framework (AIBRF) that integrates data acquisition, AI analytics, risk prediction, adaptive decision-making, resilience orchestration, and continuous learning is proposed that enables proactive risk management and real-time adaptation.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.