Machine learning (ML) techniques have been applied for different applications:

– Density-based spatial clustering for analyzing user regularities based on their location-based checkins
– Unsupervised learning for analyzing traffic impacts under arterial road closures
– Exemplar-based support vector machines (SVM) for achieving real-time bus recognition
– Multi-layer feed-forward neural network to learn the inverse model for key process modules
– Ensemble learning for identifying songbird species in field recordings