Space-Air-Ground Integrated Mobile Crowdsensing for Partially Observable Data Collection by Multi-Scale Convolutional Graph Reinforcement Learning. [PDF]
Entropy (Basel), 2022 Ren Y, Ye Z, Song G, Jiang X.
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A short review of constructing noise map using crowdsensing technology
, 2017 The advent of crowdsensing technology has provided a promising possibility for monitoring noise pollution in large-scale areas. Constructing noise map by using mobile smart phones in a cost-e?ective manner is being widely used in the city and industrial ...
Yu Zhang (17170738) +4 more
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Editorial: Privacy-preserving deep heterogeneous view perception for data learning in neurorobotics volume II. [PDF]
Front Neurorobot, 2023 Li P.
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RCoD: Reputation-Based Context-Aware Data Fusion for Mobile IoT. [PDF]
Sensors (Basel)Tasnim S +4 more
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Edge-enabled Mobile Crowdsensing to Support Effective Rewarding for Data Collection in Pandemic Events. [PDF]
J Grid Comput, 2021 Foschini L +3 more
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Crowdsourcing intelligence for improving disaster forecasts. [PDF]
Innovation (Camb)Wang X +8 more
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Examining spatiotemporal crowdsensing and caching for population-dynamic OTT content delivery. [PDF]
Sci RepKim HS +5 more
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An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing. [PDF]
Sensors (Basel)Owoh N +5 more
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Special Issue on IoT for Fighting COVID-19. [PDF]
Pervasive Mob Comput, 2021 Boldrini C +4 more
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