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    Optimizing EV Charging in Real-Time With a Distributed Game-Theoretic Framework by Aifang Yan, Xiaopeng Chen

    Published 2025-01-01
    “…Additionally, in the orderly charging scenario, the average electricity purchasing cost for EVs drops by 8.72%, and the peak cost decreases by 10.4%. The system demonstrates high computational efficiency with response times in the millisecond range for different EVA (Electric Vehicle Aggregator) charging strategies. …”
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    Accuracy–Efficiency Trade-Off: Optimizing YOLOv8 for Structural Crack Detection by Jiahui Zhang, Zoia Vladimirovna Beliaeva, Yue Huang

    Published 2025-06-01
    “…Experimental results show that the proposed model achieves a mean Average Precision (mAP) of 88.7% at 0.5 IoU and 69.4% for mAP@0.5:0.95, with 12.3% fewer Giga Floating Point Operations (GFlops), and faster inference. …”
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    Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

    Published 2025-01-01
    “…Results demonstrate that sequential architectures outperform wrapped models by reducing overfitting and computational demands. The integration of DEet and HOPeR further optimized hyperparameter exploration, with DEet enhancing model robustness through dropout regularization and HOPeR introducing adaptive penalties to systematically eliminate suboptimal configurations. …”
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    Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms by M. Sundar Rajan

    Published 2024-06-01
    “…Both contemporary and traditional generation techniques are analyzed, with hybrid algorithms gaining popularity due to their reduced computational time. This paper addresses the parameter estimation of four distinct PV panel models—PV-RTC, PV-PWP 201, PV-STM6 40/36, and PV-STP6 120/36—using a range of meta-heuristic optimization algorithms. …”
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