Railway defect detection based on track geometry using supervised and unsupervised machine learning

Medicine & Life Sciences

• Unsupervised Machine Learning 100%
• Supervised Machine Learning 88%
• Automobiles 61%
• Maintenance 39%
• Costs and Cost Analysis 34%
• Machine Learning 31%
• Workload 27%
• Industry 25%
• Cluster Analysis 24%
• Decision Making 22%
• Joints 19%
• Safety 16%

Engineering & Materials Science

• Machine learning 40%
• Defects 37%
• Geometry 33%
• Rails 19%
• Switches 9%
• Fasteners 5%
• Association rules 5%
• Deep neural networks 4%
• Convolutional neural networks 4%
• Costs 3%
• Decision making 3%
• Sensors 2%
• Industry 2%