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Open access Sep 2026

Surrogate-based multi-disciplinary design optimization of passive morphing aeroelastic composite unmanned aerial vehicle wings

This paper provides a multidisciplinary design optimization (MDO) approach for optimizing the performance of passive morphing composite wings in unmanned aerial vehicles (UAVs). The objectives considered in this study include minimization of the drag coefficient (C D ), structural weight(m), and root bending moment ()...

K. Khalid, T. Elsonni, Sabah A. Salih et al. · 0 citations
#federated learning Open access Sep 2026

Integrating Particle Swarm Dynamics into Federated Learning: A Promising Hybrid to Counter Client Drift under Non-IID Conditions

Federated learning (FL) enables distributed model training without centralizing raw data, making it attractive for privacy-sensitive Internet of Things (IoT) environments.However, conventional FL algorithms suffer from slow convergence and degraded performance under statistically heterogeneous (non-IID) data distributi...

Marwa K. Farhan, Ruslan Saad Abdulrahman, Aseel B. Alnajjar et al. · 0 citations

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