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    Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology by Liang Zheng, Jianyi Zheng, Yile Chen, Yuchan Zheng, Wei Lao, Shuaipeng Chen

    Published 2025-06-01
    “…The historical Lingnan gray brick buildings in Macau, a World Heritage Site, are facing severe deterioration due to prolonged disrepair, manifesting as cracks, breakages, moss adhesion, and other types of surface damage. …”
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    Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

    Published 2025-03-01
    “…Automated pavement crack detection faces significant challenges due to the complex shapes of crack patterns, their similarity to non-crack textures, and varying environmental conditions such as lighting and noise. …”
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    A volumetric method for quantifying atherosclerosis in mice by using microCT: comparison to en face. by David J Lloyd, Joan Helmering, Stephen A Kaufman, James Turk, Matt Silva, Sergio Vasquez, David Weinstein, Brad Johnston, Clarence Hale, Murielle M Véniant

    Published 2011-04-01
    “…These data validate the use of microCT technology to provide a more exact empirical measure of ex vivo plaque volume throughout the entire intact aorta in situ for the quantification of atherosclerosis in preclinical models.…”
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    Research and implementation of intelligent endogenous technology for SDN cooperative controller by Le ZHANG, Yanqin WU, Ke ZHANG, Dongfeng MAO, Song JIANG, Huawei HU

    Published 2021-12-01
    “…In the face of new demands and challenges such as business diversification, data quantification and cloud network integration, the ideas and methods of cloud network operation are changing.As the core capability of the new generation of cloud network operation system, SDN controller was deeply integrated with artificial intelligence technology.The key technologies and application practices of full-process closed-loop autonomy capability including intention analysis, cloud network intelligence perception, guarantee, optimization and automatic execution were studied to form intelligent endogenous capability of SDN controller.Firstly, the SDN controller intelligent endogenous development background and significance were clarified.And then, the ability of intelligent endogenous architecture and distribution of core competence were illustrated, which gradually form the whole process of the closed loop cloud network autonomy.Finally, focusing on 5G slice, SRv6 scene of new technology new business use cases, the intelligent perception, independent guarantee, automatic optimization of the key aspects of technology, and the effect of implementation and application were resolved.Through capability architecture design, key capability research and development, implementation verification and layout in standardization, the internal intelligence of SDN controller would gradually mature and enable smart operation of cloud network.…”
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    Research and implementation of intelligent endogenous technology for SDN cooperative controller by Le ZHANG, Yanqin WU, Ke ZHANG, Dongfeng MAO, Song JIANG, Huawei HU

    Published 2021-12-01
    “…In the face of new demands and challenges such as business diversification, data quantification and cloud network integration, the ideas and methods of cloud network operation are changing.As the core capability of the new generation of cloud network operation system, SDN controller was deeply integrated with artificial intelligence technology.The key technologies and application practices of full-process closed-loop autonomy capability including intention analysis, cloud network intelligence perception, guarantee, optimization and automatic execution were studied to form intelligent endogenous capability of SDN controller.Firstly, the SDN controller intelligent endogenous development background and significance were clarified.And then, the ability of intelligent endogenous architecture and distribution of core competence were illustrated, which gradually form the whole process of the closed loop cloud network autonomy.Finally, focusing on 5G slice, SRv6 scene of new technology new business use cases, the intelligent perception, independent guarantee, automatic optimization of the key aspects of technology, and the effect of implementation and application were resolved.Through capability architecture design, key capability research and development, implementation verification and layout in standardization, the internal intelligence of SDN controller would gradually mature and enable smart operation of cloud network.…”
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    Article
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