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  • Data-driven quantification and visualization of resilience metrics of power distribution systems

    Data-driven quantification and visualization of resilience metrics of power distribution systems

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  • A unified framework for robust 3D watermarking based on feature integration

    A unified framework for robust 3D watermarking based on feature integration

    In the following, we first introduce the segmentation of an input 3D model via EMD. And then, we describe the non-embedded watermarking scheme during the construction of copyright-watermark keys based on feature integration. After that, we…

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  • Empowering researchers to integrate sex and gender analysis in research: a reflexive interdisciplinary pedagogical approach

    Sex and gender bias in research and innovation (R&I) can lead to gaps in knowledge and technology that disadvantage large segments of society. The European Union’s recent policies, including the Gender Equality Strategy 2020–2025 and Horizon…

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  • Integrated transcriptome analysis of jejunum and liver to identify key genes and pathways associated with body weight in chickens

    Integrated transcriptome analysis of jejunum and liver to identify key genes and pathways associated with body weight in chickens

  • P Barrow, V Nair, S Baigent, R Atterbury. & M Clark. Poultry health: a guide for professionals. (Cabi, 2021)

  • Gheyas, A. A. et al. Integrated environmental and genomic analysis reveals the drivers of local adaptation in African indigenous chickens….

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  • Design and optimization of CIGS-based solar cell with surface dielectric nanostructures arrangement

  • Hamied, F. M. A. et al. Design and analysis of a nano-rectenna based on multi-insulator tunnel barrier for solar energy harvesting. Opt. Quant. Electron. 54 (3), 144 (2022).

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  • Mohsin, A. S. et…

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  • Neural network approach enhancing churn prediction with categorical encoding and standard scaling

  • Liu, Y. & Zhuang, Y. Research model of churn prediction based on customer segmentation and misclassification cost in the context of big data. J. Comput. Communication. 3(6), 87–93. https://doi.org/10.4236/jcc.2015.36009 (2015).

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