Identification of High Pressure Critical Links in Water Distribution Systems

Jain, Sheetal Kumar; Shrivastava, S. M.; Saquib, Zia; Shah, Seema; Rodrigues, Anjana

doi:10.1109/iccubea.2018.8697566

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Cited by 2 publications

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“…The classification for an unclassified record is based on comparing it with similar records in the training dataset. The distance between the new record and the closest class is measured by a distance function such as Euclidean, Manhattan or Minkowski for continuous variables and Hamming distance for categorical variables [52].…”

Section: K-nearest Neighbourmentioning

confidence: 99%

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Newly engineered energy-based features for supervised anomaly detection in a physical model of a water supply system

et al. 2021

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Section: K-nearest Neighbourmentioning

confidence: 99%

“…Support Vector Machine (SVM) is a supervised machine learning algorithm based on the concept of decision planes that define decision boundaries for different classes [52]. The task of SVM is to find out the hyperplane that maximises the distance margin between the malicious and benign classes.…”

Section: Support Vector Machinesmentioning

confidence: 99%