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    An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

    Published 2025-05-01
    “…Moreover, DRL-NSABC demonstrates the fastest convergence, reaching near-optimal accuracy within the first 100 epochs. By significantly reducing false positives and ensuring rapid anomaly detection with low computational overhead, the proposed DRL-NSABC framework enables efficient real-world deployment in smart power distribution systems without major infrastructure upgrades and promotes cost-effective, resilient power grid operations.…”
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    Ultra-Low Index-Contrast Polymeric Photonic Crystal Nanobeam Electro-Optic Modulator by Xiaogang Li, Xiao Liu, Yuqin Qin, Daquan Yang, Yuefeng Ji

    Published 2020-01-01
    “…Based on three-dimensional (3D) finite-difference time-domain (FDTD) method, the PCNC design and optimization are investigated theoretically. A high quality-factor (<italic>Q</italic>) of 3.4<inline-formula><tex-math notation="LaTeX">$\,\times\, 10^4$</tex-math></inline-formula> and small mode-volume of 22.8 <italic><inline-formula><tex-math notation="LaTeX">${({\lambda }/n_{SEO}})^{3}$</tex-math></inline-formula></italic> can be achieved. …”
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    Modeling the regulatory network of histone acetylation in Saccharomyces cerevisiae by Hung Pham, Roberto Ferrari, Shawn J Cokus, Siavash K Kurdistani, Matteo Pellegrini

    Published 2007-12-01
    “…We have utilized a linear regression of optimized sigmoidal functions to correlate transcription factor binding patterns to the acetylation profiles of 11 lysines in the four core histones measured at all S. cerevisiae promoters. …”
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