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Fig. 14 | Human-centric Computing and Information Sciences

Fig. 14

From: Heuristics for spatial finding using iterative mobile crowdsourcing

Fig. 14

Results averaged over 1000 runs comparing RSC-NR, ASC-IN (\(\delta\) = 0.1), and ASC-SPP (and ASC-SPP-His) for different values of k for the noise scenario. a Average, median and standard deviation for number of questions with k = 40 comparing RSC-NR, ASC-IN (\(\delta\) = 0.1), and ASC-SPP. b Average, median and standard deviation for number of rounds with k = 40 comparing RSC-NR, ASC-IN (\(\delta\) = 0.1), and ASC-SPP. c Average, median and standard deviation for number of questions with k = 5 comparing RSC-NR, ASC-IN (\(\delta\) = 0.1), and ASC-SPP. d Average, median and standard deviation for number of rounds with k = 5 comparing RSC-NR, ASC-IN (\(\delta\) = 0.1), and ASC-SPP. e Average, median and standard deviation for number of questions with k = 5 comparing RSC-NR, ASC-IN (\(\delta\) = 0.1), and ASC-SPP-His. f Average, median and standard deviation for number of rounds with k = 5 comparing RSC-NR, ASC-IN (\(\delta\) = 0.1), and ASC-SPP-His

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