Jun 1, 2023 · The proposed MAB mechanism assumes that the platform knows the sensing qualities of the workers after it obtains the workers' data, which is an ...

Jun 1, 2023 · A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd · Authors · Affiliations.

Jan 17, 2023 · Title:A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd ... Abstract:The ...

Jun 1, 2023 · A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd. Author links open ...

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd ... To read the full-text of this research, ...

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd ; Publisher: Elsevier B.V. ; Keywords: ...

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd. Tang, Jianheng; Fan, Kejia; Xie ...

Jan 17, 2023 · The recruitment of trustworthy and high-quality workers is an important research issue for MCS. Previous studies either assume that the ...

A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd.

Apr 25, 2024 · A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd. ... Rate Learning based ...