UAV-Assisted Cluster-Based Task Allocation for Mobile Crowdsensing in a Space-Air-Ground-Sea Integrated Network. [PDF]
Sensors (Basel), 2023 Liu Y, Li Y, Cheng W, Wang W, Yang J.
europepmc +1 more source
Urban Mobility: Mobile Crowdsensing Applications
, 2018 Mobility has become one of the most difficult challenges that cities must face. More than half of world’s population resides in urban areas and with the continuously growing population it is imperative that cities use their resources more efficiently.
João Simões +3 more
openaire +2 more sources
Crowdsensing big data:sensing,data selection,and understanding
大数据, 2017 Mobile crowdsensing (MCS) has become an emerging paradigm for large-scale sensing.It empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g.,smartphones,wearable devices),aggregates and fuses the data in the ...
Bin GUO +3 more
doaj
Estimating Pavement Condition by Leveraging Crowdsourced Data
Remote SensingMonitoring pavement conditions is critical to pavement management and maintenance. Traditionally, pavement distress is mainly identified via accelerometers, videos, and laser scanning.
Yangsong Gu +3 more
doaj +1 more source
Robot location privacy protection based on Q-learning particle swarm optimization algorithm in mobile crowdsensing. [PDF]
Front Neurorobot, 2022 Ma D, Kong D, Chen X, Zhang L, Yuan M.
europepmc +1 more source
Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing. [PDF]
Sensors (Basel), 2023 Bruns R +3 more
europepmc +1 more source
GEOmedia, 2015 GEOmedia interview the project leader SmartRoadSense (SRS) Alessandro Bogliolo. SmartRoadSense (SRS) is the crowdsensing to monitor the road surface. Research synergies from geomatics to mapping, from sensors to statistics.
Domenico Santarsiero
doaj
Predicting train occupancies based on query logs and external data sources [PDF]
, 2017 Colpaert, Pieter +7 more
core +1 more source
Preference-Matched Multitask Assignment for Group Socialization under Mobile Crowdsensing. [PDF]
Sensors (Basel), 2023 Zhang M, Chen S, Wei Z, Wu Y.
europepmc +1 more source
Mobile data stream mining: from algorithms to applications [PDF]
, 2012 Gaber, M., Gama, J., Krishnaswamy, S.
core +1 more source