Practical benchmarking of statistical and machine learning models for predicting the condition of sewer pipes in Berlin, Germany - Caradot, N.; Riechel, M.; Fesneau, M.; Hernandez, N.; Torres, A.; Sonnenberg, H.; Eckert, E.; Lengemann, N.; Waschnewski, J.; Rouault, P. (Journal of hydroinformatics, 2018)
Keywords: Artificial intelligence; Asset management; Decision trees; Deterioration; Forests; Infrastructure; Inspection; Learning algorithms; Machine learning; Markov chains; Mathematical models; Modelling; Performance assessment; Pipes; Rehabilitation; Sewer pipes; Sewer systems; Statistical analysis; Statistical models; Survival; Survival analysis; United States--US; Berlin Germany; Germany