2018
DOI: 10.1016/j.compeleceng.2017.09.026
|View full text |Cite
|
Sign up to set email alerts
|

Transmitter source location estimation using crowd data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 20 publications
0
1
0
Order By: Relevance
“…No single method is found to consistently outperform the others, and a supervised machine learning approach, called Adaptive Algorithm Selection is proposed to select the method that is most likely to provide the best result for a specific cell. A supervised machine learning approach is also utilized in [9], which employs a Multi Layer Perceptron neural network to directly locate GSM base stations through measurements collected with a smartphone app in a small urban area of Istanbul.…”
Section: Related Workmentioning
confidence: 99%
“…No single method is found to consistently outperform the others, and a supervised machine learning approach, called Adaptive Algorithm Selection is proposed to select the method that is most likely to provide the best result for a specific cell. A supervised machine learning approach is also utilized in [9], which employs a Multi Layer Perceptron neural network to directly locate GSM base stations through measurements collected with a smartphone app in a small urban area of Istanbul.…”
Section: Related Workmentioning
confidence: 99%