Comparison of Machine Learning Models for Predicting Indoor Materials from Channel Impulse Response-Reference-Cited by-同舟云学术

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Comparison of Machine Learning Models for Predicting Indoor Materials from Channel Impulse Response

Published:2022-09-22 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
language:
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Author:

Kocevska Teodora¹,Javornik Tomaz¹,Svigelj Ales¹,Guan Ke²,Rashkovska Aleksandra³,Hrovat Andrej¹

Affiliation:

1. Jožef Stefan Institute and J. Stefan Int. Postgraduate School,Ljubljana,Slovenia

2. Jožef Stefan Institute and State Key Lab. of Rail Traffic Contr, and Safety,Ljubljana, Beijing,Slovenia, China

3. Jožef Stefan Institute,Depart. of Com. Systems,Ljubljana,Slovenia

Funder

Slovenian Research Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9911258/9911226/09911422.pdf?arnumber=9911422

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Impact of Room Size on Machine Larning-based Material Prediction using Channel Impulse Response;2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP);2023-06-27

2. Identification of Indoor Radio Environment Properties from Channel Impulse Response with Machine Learning Models;Electronics;2023-06-20

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