Machine Learning-Based Line-Of-Sight Prediction in Urban Manhattan-Like Environments-Reference-Cited by-同舟云学术

Machine Learning-Based Line-Of-Sight Prediction in Urban Manhattan-Like Environments

Published:2023-03-26 Issue: Volume: Page:
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Container-title:2023 17th European Conference on Antennas and Propagation (EuCAP)
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Author:

Cicco Nicola Di¹,Del Prete Simone²,Kodra Silvi²,Barbiroli Marina²,Fuschini Franco²,Vitucci Enrico M.²,Degli Esposti Vittorio²,Tornatore Massimo¹

Affiliation:

1. Information and Bioengineering (DEIB),Department of Electronics,Politecnico di Milano,Italy

2. CNIT, University of Bologna,Department of Electrical, Electronic and Information Engineering (DEI),Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10132843/10132844/10133145.pdf?arnumber=10133145

Reference20 articles.

1. Location-Verification and Network Planning via Machine Learning Approaches

2. Indoor Localization with WiFi Fingerprinting Using Convolutional Neural Network

3. Ray Tracing RF Field Prediction: An Unforgiving Validation

4. Machine learning based indoor line-of-sight probability prediction;yang;Proc of 2019 International Symposium on Antennas and Propagation (ISAP),2019

5. If Not Here, There. Explaining Machine Learning Models for Fault Localization in Optical Networks

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1. Machine Learning Approach to Delay Spread Estimation in Industrial Environments;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17

2. A New Approach for Line of Sight Prediction with Geometry Analysis and Machine Learning in Diverse Environments;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17

3. A Study on mm-Wave Propagation in and Around Buildings;IEEE Open Journal of Antennas and Propagation;2023