Title
Unsupervised Crowd-Assisted Learning Enabling Location-Aware Facilities.
Abstract
The accelerated evolution of Internet of Things (IoT) architectures and their incorporation in vehicles, buildings, or cities provide the ideal environment for the development and optimization of smart services. Under this light, positioning services that harvest location fingerprinting based on received signal strength indications (RSSIs) are widely popular due to the massive data generation that...
Year
DOI
Venue
2018
10.1109/JIOT.2018.2810808
IEEE Internet of Things Journal
Keywords
Field
DocType
Computer architecture,Microprocessors,Internet of Things,Sensors,Wireless communication,Computational modeling,Probabilistic logic
Edge computing,Software deployment,Wireless,Crowdsourcing,Computer science,Testbed,Fingerprint,Probabilistic logic,Test data generation,Distributed computing
Journal
Volume
Issue
ISSN
5
6
2327-4662
Citations 
PageRank 
References 
3
0.43
0
Authors
4
Name
Order
Citations
PageRank
Dimitrios Sikeridis1172.43
Rimal Bhaskar Prasad263731.63
Ioannis Papapanagiotou313815.43
Michael Devetsikiotis487193.90