Skip to content

Author

Carlos B. Rosa-Remedios

We have 1 of 12 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.

Open access 2026

Hybrid Quantum-Kernel and Quantum-Inspired Machine Learning for TDoS Early Warning in Critical Infrastructure

The proposed framework can improve threat detection and system resilience in critical infrastructure contexts and support the use of kernel-based quantum-inspired representations as a tunable early-warning layer for PSAP traffic monitoring, while also showing that threshold calibration and operational context remain necessary before deployment.

Carlos B. Rosa-Remedios, P. Caballero-Gil, J. Molina-Gil · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.