An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms
Indoor and outdoor positioning lets to offer universal location services in industry and academia. Wi-Fi and Global Positioning System (GPS) are the promising technologies for indoor and outdoor positioning, respectively. However, Wi-Fi-based positioning is less accurate due to the vigorous changes...
Main Authors: | Abebe Belay Adege, Hsin-Piao Lin, Getaneh Berie Tarekegn, Yirga Yayeh Munaye, Lei Yen |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Journal of Sensors |
Online Access: | http://dx.doi.org/10.1155/2018/1253752 |
Similar Items
-
UAV Positioning for Throughput Maximization Using Deep Learning Approaches
by: Yirga Yayeh Munaye, et al.
Published: (2019-06-01) -
Applying Deep Neural Network (DNN) for Robust Indoor Localization in Multi-Building Environment
by: Abebe Belay Adege, et al.
Published: (2018-06-01) -
Deep Reinforcement Learning Based Resource Management in UAV-Assisted IoT Networks
by: Yirga Yayeh Munaye, et al.
Published: (2021-03-01) -
DFOPS: Fingerprinting Outdoor Positioning Scheme in Hybrid Networks: A Deep Learning Approach
by: GETANEH BERIE TAREKEGN, et al.
Published: (2019) -
Deep-Machine Learning Approaches for Position-Aware Services in Internet-of-Things Network
by: Abebe Belay Adege, et al.
Published: (2019)