首页|Data on Machine Learning Described by Researchers at Los Alamos National Laborat ory (Multi-level Structural Damage Characterization Using Sparse Acoustic Sensor Networks and Knowledge Transferred Deep Learning)
Data on Machine Learning Described by Researchers at Los Alamos National Laborat ory (Multi-level Structural Damage Characterization Using Sparse Acoustic Sensor Networks and Knowledge Transferred Deep Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Los Alamos, New Mexic o, by NewsRx journalists, research stated, “Standard structuralhealth monitorin g techniques face well-known difficulties for comprehensive defect diagnosis in real-worldstructures that have structural, material, or geometric complexity. T his motivates the exploration ofmachine-learning-based structural health monito ring methods in complex structures.”
Los AlamosNew MexicoUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningLos Alamos National Laboratory
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