Author

Q. Naveed

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Open access Sep 2026

Mixture replication in benchmark datasets inflates reported machine learning performance and degrades prediction interval coverage for ultra-high-performance concrete

Machine learning models for ultra-high-performance concrete (UHPC) commonly report coefficients of determination above 0.94 on held-out records, and these values now shape expectations for data-driven mix design. We show that a substantial part of this reported predictive performance depends on how the models are eva...

Huda Aldosari, Murtaza M. Junaid Farooque, Naseema Shaik et al. · Scientific Reports · 0 citations

Open access Jul 2026

A dynamic reward framework for scalable and efficient IoT-WSN routing using deep reinforcement learning.

A dynamic reward structuring framework within deep reinforcement learning to enable adaptive and balanced routing in IoT-WSNs and achieves significant performance gains, including approximately 30% improvement in energy efficiency, 25% reduction in latency, and 35% increase in network throughput compared with baseline...

Suresh Betam, S. Nagendram, Bathula Prasanna Kumar et al. · Scientific Reports · 0 citations