RISK-INFORMED SUPPORT VECTOR MACHINE REGRESSION MODEL FOR COMPONENT REPLACEMENT—A CASE STUDY OF RAILWAY FLANGE LUBRICATOR

Risk-Informed Support Vector Machine Regression Model for Component Replacement—A Case Study of Railway Flange Lubricator

The railway-rolling stock wheel flange lubricator protects the wheels and railhead by lubricating their contacts.Failed or missing flange lubricators can lead to excessive wheel wear, wheel flats, 103 wheel cracks, rolling contact fatigue, rail damage, and derailment accidents.In extreme cases, missing or worn flange lubricators due to nonlinear ra

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Object Tracking and Geo-Localization from Street Images

Object geo-localization from images is crucial to many applications such as land surveying, self-driving, and asset management.Current visual object geo-localization algorithms suffer from hardware limitations and impractical assumptions limiting their usability in real-world applications.Most of the current methods assume object sparsity, Infinity

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