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document
Brous, P.A. (author), Janssen, M.F.W.H.A. (author), Krans, Rutger (author)
More and more, asset management organizations are introducing data science initiatives to support predictive maintenance and anomaly detection. Asset management organizations are by nature data intensive to manage their assets like bridges, dykes, railways and roads. For this, they often implement data lakes using a variety of architectures...
conference paper 2020
document
Brous, P.A. (author), Janssen, M.F.W.H.A. (author), Schraven, D.F.J. (author), Spiegeler, Jasper (author), Can Duzgun, Baris (author)
Organizations tasked with managing large scale, public civil infrastructure are increasingly looking at data to drive their asset management decision-making processes. The Internet of Things (IoT) enables the creation of data that can be used to gain further insights into the current and predicted state of the infrastructure and may help...
conference paper 2017