首页|Queen Mary-University of London Researcher Describes Recent Advances in Machine Learning (Machine Learning-Based Structural Health Monitoring Technique for Crac k Detection and Localisation Using Bluetooth Strain Gauge Sensor Network)

Queen Mary-University of London Researcher Describes Recent Advances in Machine Learning (Machine Learning-Based Structural Health Monitoring Technique for Crac k Detection and Localisation Using Bluetooth Strain Gauge Sensor Network)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from London, Unit ed Kingdom, by NewsRx correspondents, research stated, “Within thedomain of Str uctural Health Monitoring (SHM), conventional approaches generally are complicat ed,destructive, and time-consuming.”

Queen Mary-University of LondonLondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.6)