RNN-CNN model: A bi-directional long short-term memory deep learning network for story point estimation
B Marapelli, A Carie, SMN Islam - 2020 5th International …, 2020 - ieeexplore.ieee.org
In recent years, an increased interest in the adaption of agile software development by
companies. Using iterative methodology enables them to do issue-based estimation and …
companies. Using iterative methodology enables them to do issue-based estimation and …
Obstacles of mobile crowdsourcing: A survey
Mobile Crowdsourcing is now a highly compelling topic for research. Using crowdsourcing,
a user can request for a solution to any problem he or she is facing to the mass people. In …
a user can request for a solution to any problem he or she is facing to the mass people. In …
Compact scheduling for task graph oriented mobile crowdsourcing
With the proliferation of increasingly powerful mobile devices and wireless networks, mobile
crowdsourcing has emerged as a novel service paradigm. It enables crowd workers to take …
crowdsourcing has emerged as a novel service paradigm. It enables crowd workers to take …
Task planning considering location familiarity in spatial crowdsourcing
C Peng, X Zhang, Z Ou, J Zhang - ACM Transactions on Sensor …, 2021 - dl.acm.org
Spatial crowdsourcing (SC) is a popular distributed problem-solving paradigm that
harnesses the power of mobile workers (eg, smartphone users) to perform location-based …
harnesses the power of mobile workers (eg, smartphone users) to perform location-based …
Maximizing user type diversity for task assignment in crowdsourcing
A Wang, M Ren, H Ma, L Zhang, P Li, L Guo - Journal of Combinatorial …, 2020 - Springer
Crowdsourcing employs numerous users to perform certain tasks, in which task assignment
is a challenging issue. Existing researches on task assignment mainly consider spatial …
is a challenging issue. Existing researches on task assignment mainly consider spatial …
Location familiarity oriented task planning in spatial crowdsourcing
C Peng, X Zhang, Z Ou - 2019 IEEE 25th International …, 2019 - ieeexplore.ieee.org
Spatial crowdsourcing (SC) is a promising framework for requesting workers (eg,
smartphone users) to perform location-based tasks (eg, taking scenic photos or checking …
smartphone users) to perform location-based tasks (eg, taking scenic photos or checking …
Complex Task Allocation in Spatial Crowdsourcing: A Task Graph Perspective
In this paper, we study a novel spatial crowdsourcing scenario, where a complex outsourced
task is divided into a group of subtasks with dependency relationships. Under this scenario …
task is divided into a group of subtasks with dependency relationships. Under this scenario …
Investigating User Attitudes Towards Mobile Crowdsourcing as a Means to Verify or Supplement Smart City Sensor Information
YH Chiang - 2023 - search.proquest.com
Smart cities utilize sensor technology to monitor urban facilities and environments in real-
time. Inconsistencies in sensor data due to varying granularity, abstraction, and scope can …
time. Inconsistencies in sensor data due to varying granularity, abstraction, and scope can …