Blar i Institutt for havromsoperasjoner og byggteknikk på tidsskrift "Water"
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Application of Regression-Based Machine Learning Algorithms in Sewer Condition Assessment for Ålesund City, Norway
(Peer reviewed; Journal article, 2022)Predicting the condition of sewer pipes plays a vital role in the formulation of predictive maintenance strategies to ensure the efficient renewal of sewer pipes. This study explores the potential application of ten machine ... -
Impact of Climate Forecasts on the Microbial Quality of a Drinking Water Source in Norway Using Hydrodynamic Modeling
(Journal article; Peer reviewed, 2019)This study applies hydrodynamic and water quality modeling to evaluate the potential effects of local climate projections on the mixing conditions in Lake Brusdalsvatnet in Norway and the implications on the occurrence of ... -
Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework
(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
(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 ...