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Yu Qian
University Profile
TECHNOLOGIES
Computer Vision Based Real-Time Pixel-Level Railroad Track Components Detection System
Laser-Based Non-Destructive Spike Defect Inspection System
Portable Railroad Spike Inspection System based on Acoustic Signals
Autonomous Drone for railroad track inspection
Routes Optimization System Based on Railroad and Street Traffic Information
Predicting Railroad Ballast Fouling Conditions Based on Ballast Image
Facial Recognition Based on Converted Spiking Neural Network
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Chemistry and Biochemistry
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Energy and Future Fuels
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Environmental and Sustainability
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Nanotechnology
Research Tools
Software and Computing
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