FAULT DETECTION AND CLASSIFICATION OF THE ROTOR UNBALANCE BASED ON DYNAMICS FEATURES AND SUPPORT VECTOR MACHINE

Fault detection and classification of the rotor unbalance based on dynamics features and support vector machine

Sirens Rotor unbalance faults are one of the high-frequency faults in rotating machinery.As such, their accurate and timely diagnosis is important.In contrast to traditional methods based on static features, the dynamics features and support vector machines (SVM) are combined for the accurate detection and classification of rotor unbalance faults.F

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Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study

BackgroundAutomated emotion classification could aid those Eyeshadow Palette who struggle to recognize emotions, including children with developmental behavioral conditions such as autism.However, most computer vision emotion recognition models are trained on adult emotion and therefore underperform when applied to child faces.ObjectiveWe designed

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Stromal Expression of the Core Clock Gene Period 2 Is Essential for Tumor Initiation and Metastatic Colonization

The circadian clock regulates diverse physiological processes by maintaining a 24-h gene expression pattern.Genetic and environmental cues that disrupt normal clock rhythms can lead to cancer, yet the extent to which this effect is controlled by the cancer cells versus non-malignant cells in the tumor microenvironment (TME) is not clear.Here we set

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