首页|Data on Geotechnical Engineering Detailed by Researchers at Brunel University Lo ndon (A Machine Learning-assisted Nondestructive Testing Method Based On Time-do main Wave Signals)
Data on Geotechnical Engineering Detailed by Researchers at Brunel University Lo ndon (A Machine Learning-assisted Nondestructive Testing Method Based On Time-do main Wave Signals)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on En gineering - Geotechnical Engineering. According to news reporting originating fr om London, United Kingdom, by NewsRx correspondents, research stated, "The nonde structive testing (NDT) of defects in structure members or geological bodies is essential in engineering survey and construction. Given the complexity of natura l rock or rock masses, the NDT of defects within them is extremely challenging i n geotechnical engineering." Financial supporters for this research include Rock Dynamic Laboratory in Southe ast University-Monash University Joint Graduate School, National Natural Science Foundation of China (NSFC), State Key Laboratory for GeoMechanics and Deep Unde rground Engineering, China University of Mining Technology.
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesEngineeringGeotechnical EngineeringMachine LearningSupport Vector MachinesBrunel University London
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