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.
Published in Journal of hydroinformatics (01.09.2018)
Published in Journal of hydroinformatics (01.09.2018)
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The evaluation of rainfall influence on combined sewer overflows characteristics: the Berlin case study
SANDOVAL, S, TORRES, A, PAWLOWSKY-REUSING, E, RIECHEL, M, CARADOT, N
Published in Water science and technology (01.01.2013)
Published in Water science and technology (01.01.2013)
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Evaluation of effectiveness of combined sewer overflow control measures by operational data
Schroeder, K, Riechel, M, Matzinger, A, Rouault, P, Sonnenberg, H, Pawlowsky-Reusing, E, Gnirss, R
Published in Water science and technology (01.01.2011)
Published in Water science and technology (01.01.2011)
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Best data handling practices in water-related research
Sonnenberg, H, Rustler, M, Riechel, M, Caradot, N, Rouault, P, Matzinger, A
Published in Water practice and technology (01.09.2013)
Published in Water practice and technology (01.09.2013)
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