Yingtao Jiang
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Development of a Platform for Real-Time, Non-Disruptive Monitoring and Early Fault Detection of Critical High Voltage Transformers and Switchgears in High Speed-Rail
1. Introduction High-speed rail (HSR) has revolutionized transportation since 1960 by providing rapid, efficient, and reliable services that connect major cities and regions [1].
Non-Contact Acoustic Emission Detection of External Rail Defects Using Air-Coupled Sensors
1. Introduction In railroad transportation, rail and wheels directly interact as trains move. The rails experience wear and tear during daily operations, leading to both internal and external defects over time. As part of defect detection efforts, various inspection and detection technologies, including imaging and ultrasound detection, have been applied to monitor rail surface health conditions.
HDAug: Optimizing Medical Image Segmentation through Hyperparameter-Driven Brightness and Contrast Augmentation for Deep Learning Models
Ayuda Buscar en la ayuda Buscar en la ayuda HDAug: Optimizing Medical Image Segmentation through Hyperparameter-Driven Brightness and Contrast Augmentation for Deep Learning Models Yun Yang [1] ; Haijian Shao [1] ; Xing Deng [1] ; Yingtao Jiang [2] [1] School of Computer, Jiangsu University of Science and Technology, Zhenjiang, 212003, China [2] Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, NV 89154, USA Localización: Métodos numéricos para cálculo y...
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