首页|Researchers from Nanyang Technological University Report Recent Findings in Mach ine Learning (A Robust Evaluating Strategy of Tunnel Deterioration Using Ensembl e Machine Learning Algorithms)
Researchers from Nanyang Technological University Report Recent Findings in Mach ine Learning (A Robust Evaluating Strategy of Tunnel Deterioration Using Ensembl e Machine Learning Algorithms)
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 Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting out of Singapore, Singapore, by NewsRx editor s, research stated, “Tunnels are crucial for transportation networks, necessitat ing regular inspection and structural deterioration evaluation to ensure their o perational capacity. Previously, only traditional models have been developed to characterize the overall degradation of tunnels and with data shuffling the mode ls trained ignore the utilization of historical data for future scenarios.” Financial supporters for this research include National Research Foundation, Sin gapore under its AI Singapore Programme (AISG), Ministry of Education Tier 1 Gra nts, Singapore, Nanyang Technological University.
SingaporeSingaporeAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningNanyang Technological Universi ty
NETL
NSTL
