@inproceedings{8892bdd1226248e88263a025d7c97176,
title = "On contamination source identification with imperfect sensor network",
abstract = "This research studies the impacts of imperfect sensor measurements (false positive/negative readings) on the contamination source identification. A probabilistic approach based on Bayes' theorem is applied to estimate the probability of a contamination source. It can be implemented in real time and it is computationally efficient. A metric is proposed to evaluate the performance of the algorithm (accuracy and specificity).",
author = "{De Sanctis}, {A. E.} and Boccelli, {D. L.} and F. Shang and Uber, {J. G.}",
year = "2008",
language = "English (US)",
isbn = "9781605603780",
series = "American Water Works Association - Water Security Congress 2008",
pages = "85--105",
booktitle = "American Water Works Association - Water Security Congress 2008",
note = "Water Security Congress 2008 ; Conference date: 06-04-2008 Through 08-04-2008",
}