首页|Reports on Artificial Intelligence Findings from University of Technology Sydney Provide New Insights (Tunnelling-induced ground surface settlement: A comprehen sive review with particular attention to artificial intelligence technologies)
Reports on Artificial Intelligence Findings from University of Technology Sydney Provide New Insights (Tunnelling-induced ground surface settlement: A comprehen sive review with particular attention to artificial intelligence technologies)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingout of the University of Technolo gy Sydney by NewsRx editors, research stated, “Shallow tunnels in urbanareas ar e close to adjacent buildings and municipal pipelines.”The news reporters obtained a quote from the research from University of Technol ogy Sydney: “Groundsurface settlement (GSS) due to tunnelling can cause damage to those infrastructures surrounded. Manymethods have been proposed for evaluat ing ground settlement induced by tunnelling, including empirical,analytical, nu merical and artificial intelligence methods. This paper reviews the proposed met hods indetail based on published 677 articles within past ten years. The princi ples, assumptions and applicationscope of those methods are summarized and the advantages and limitations of each method are discussed.Since artificial intell igence (AI) become popular in recent few years, the application of AI in the asp ectof tunnelling-induced ground deformation is introduced emphatically.”
University of Technology SydneyArtific ial IntelligenceEmerging TechnologiesMachine LearningTechnology
NETL
NSTL
