Blar i USN Open Archive på forfatter "Seidu, Razak"
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Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network
Van Nguyen, Lam; Tien Bui, Dieu; Seidu, Razak (Journal article; Peer reviewed, 2022)Assessment of sewer condition is one of the critical steps in asset management and support investment decisions; therefore, condition assessment models with high accuracy are important that can help utility managers and ... -
Geo-romlig analyse av overvannsavrenning fra en motorvei i nedbørsfeltet til Brusdalsvatnet i Ålesund
Baldeon Franco, Luis (Master thesis, 2023)Vi ser at klimaendringene fører til både stigende temperaturer samt tiltakende ekstrem nedbørshendelser. Dette gir grunn til bekymring i Norge, siden det øker avrenningsvolumet som ikke naturlig absorberes grunnet ... -
Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework
Nguyen Van, Lam; Tornyeviadzi, Hoese Michel; Tien Bui, Dieu; Seidu, Razak (Peer reviewed; Journal article, 2022)Predicting discharges in sewage systems play an essential role in reducing sewer overflows and impacts on the environment and public health. Choosing a suitable model to predict discharges in these systems is essential to ... -
Utilization of Augmented Reality Technique for Sewer Condition Visualization
Nguyen Van, Lam; Tien Bui, Dieu; Seidu, Razak (Peer reviewed; Journal article, 2023)Wastewater pipelines are largely buried underground, and techniques for assessing and visualizing their condition are critical for planning and rehabilitation. This paper introduces a framework for integrating Geographic ...