ML-Based Classification of Device Environment Using Wi-Fi and Cellular Signal Measurements-Reference-Cited by-同舟云学术

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ML-Based Classification of Device Environment Using Wi-Fi and Cellular Signal Measurements

Published:2022 Issue: Volume:10 Page:29461-29472
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ramamurthy Arun¹,Sathya Vanlin²^ORCID,Rochman Muhammad Iqbal³^ORCID,Ghosh Monisha⁴

Affiliation:

1. TCS Research and Innovation, Tata Consultancy Services, Pune, India

2. Celona Inc., Cupertino, CA, USA

3. Department of Computer Science and Engineering, University of Chicago, Chicago, IL, USA

4. Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

https://ieeexplore.ieee.org/ielam/6287639/9668973/9734732-aam.pdf

Reference29 articles.

1. GPS-Based Indoor/Outdoor Detection Scheme Using Machine Learning Techniques

2. Classification of indoor-outdoor location using combined global positioning system (GPS) and temperature data for personal exposure assessment

3. Automated time activity classification based on global positioning system (GPS) tracking data

4. A GPS Sensing Strategy for Accurate and Energy-Efficient Outdoor-to-Indoor Handover in Seamless Localization Systems

5. On placement and dynamic power control of femtocells in LTE HetNets

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1. Machine learning-enabled IoT applications for smart healthcare monitoring systems;Advances in Computers;2024

2. IODnet: Indoor/Outdoor Telecommunication Signal Detection through Deep Neural Network;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

3. Automatic Calibration in Crowd-sourced Network of Spectrum Sensors;Proceedings of the 22nd ACM Workshop on Hot Topics in Networks;2023-11-28

4. The FCC's Auction Authority, the 3.1–3.45 GHz Conundrum, and NTIA's Spectrum Strategy;IEEE Wireless Communications;2023-04

5. Students Engagement Level Detection in Online e-Learning Using Hybrid EfficientNetB7 Together With TCN, LSTM, and Bi-LSTM;IEEE Access;2022

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