Author

S. Chelloug

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#reinforcement learning Open access Aug 2026

A reinforcement-learning-guided memetic Narwhal Optimization Algorithm for global and engineering optimization

The Narwhal Optimization Algorithm is a recent swarm metaheuristic that, like most population-based optimisers, is prone to premature convergence, is sensitive to random initialisation, and relies on a rigid, schedule-driven exploration–exploitation balance. This paper develops and rigorously evaluates two enhanced v...

A. Al Tawil, S. Z. Hashim, Hanaa Fathi et al. · Scientific Reports · 0 citations

Review Open access Jul 2026

Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring

Results indicate that a federated TinyML architecture with lightweight patient-state tracking, validation-based ensemble filtering, differential privacy, and post-quantum-secure communication can support privacy-aware and attack-resilient ICU monitoring experiments in resource-constrained IoMT settings.

Umar Hayat Khan, Rahim Khan, Tahani Alsaedi et al. · Scientific Reports · 0 citations