ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1608.02661
  4. Cited By
ActiveCrowd: A Framework for Optimized Multi-Task Allocation in Mobile
  Crowdsensing Systems

ActiveCrowd: A Framework for Optimized Multi-Task Allocation in Mobile Crowdsensing Systems

8 August 2016
Bin Guo
Yan Liu
Wenle Wu
Zhiwen Yu
Qi Han
    HAI
ArXiv (abs)PDFHTML

Papers citing "ActiveCrowd: A Framework for Optimized Multi-Task Allocation in Mobile Crowdsensing Systems"

5 / 5 papers shown
Title
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using
  Graph Neural Networks
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
Aymen Hamrouni
Hakim Ghazzai
Turki Alelyani
Y. Massoud
120
25
0
01 Jun 2021
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement
  Learning
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning
Yize Chen
Hao Wang
HAI
26
27
0
20 Sep 2018
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Jiangtao Wang
Feng Wang
Yasha Wang
Leye Wang
Zhaopeng Qiu
Daqing Zhang
Bin Guo
Q. Lv
62
100
0
22 May 2018
Task Allocation in Mobile Crowd Sensing: State of the Art and Future
  Opportunities
Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities
Jiangtao Wang
Leye Wang
Yasha Wang
Daqing Zhang
Lingyu Kong
HAI
48
107
0
22 May 2018
Qualitative Action Recognition by Wireless Radio Signals in
  Human-Machine Systems
Qualitative Action Recognition by Wireless Radio Signals in Human-Machine Systems
Shaohe Lv
Yong Lu
M. Dong
Xiaodong Wang
Y. Dou
W. Zhuang
59
34
0
01 Mar 2017
1