首页|Study Findings from School of Engineering Broaden Understanding of Machine Learn ing (Parametric Study of Anomaly Detection Models for Defect Detection In Infrar ed Thermography)
Study Findings from School of Engineering Broaden Understanding of Machine Learn ing (Parametric Study of Anomaly Detection Models for Defect Detection In Infrar ed Thermography)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting out of Telangana, India, by NewsRx edito rs, research stated, “In the current NDT 4.0 revolution, machine learning and ar tificial intelligence have emerged as the major enablers for non-destructive tes ting and evaluation (NDT&E) of industrial components. However, rece nt developments in active thermal NDT (TNDT) support its use as a practical meth od for checking a range of industrial components.”
TelanganaIndiaAsiaCyborgsEmergin g TechnologiesMachine LearningSchool of Engineering
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