A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost
Author:
Funder
Ministry of Internal Affairs and Communications
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9410887/9410888/09411102.pdf?arnumber=9411102
Cited by 7 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. A Deep-Learning Method for Path Loss Prediction Using Geospatial Information and Path Profiles;IEEE Transactions on Antennas and Propagation;2023-09
2. RNN-Based Path Loss Modeling with Variable-Size Map Data in Urban Environments;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06
3. A Study of Building Map Representation for Delay Spread Estimation Model using Machine Learning;2023 17th European Conference on Antennas and Propagation (EuCAP);2023-03-26
4. Prediction of Automobile Aerodynamic Drag Coefficient for SUV Cars Based on a Novel XGBoost Model;Iranian Journal of Science and Technology, Transactions of Mechanical Engineering;2023-01-02
5. A Study on Path Loss Modeling using ResNet and Pre-Training with Free Space Path Loss;2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2022-09-12
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