Path Loss Prediction in Evaporation Ducts Based on Deep Neural Network-Reference-Cited by-同舟云学术

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Path Loss Prediction in Evaporation Ducts Based on Deep Neural Network

Published:2024-02 Issue:2 Volume:23 Page:798-802
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Shu Bingwei¹^ORCID,Zhang Wensheng¹^ORCID,Chen Yunfei²^ORCID,Sun Jian¹^ORCID,Wang Cheng-Xiang³^ORCID

Affiliation:

1. Shandong Provincial Key Lab of Wireless Communication Technologies, School of Information Science and Engineering, Shandong University, Qingdao, China

2. Department of Engineering, Durham University, Durham, U.K.

3. National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Program for High-end Foreign Experts Introduction

EU H2020 RISE TESTBED2

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/10419086/10328712.pdf?arnumber=10328712

Cited by 1 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. IPILT–OHPL: An Over-the-Horizon Propagation Loss Prediction Model Established by Incorporating Prior Information Into the LSTM–Transformer Structure;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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