Boyu Hua

Orcid: 0000-0002-1796-0476

According to our database1, Boyu Hua authored at least 23 papers between 2020 and 2024.

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Bibliography

2024
Path Loss and Shadowing for UAV-to-Ground UWB Channels Incorporating the Effects of Built-Up Areas and Airframe.
IEEE Trans. Intell. Transp. Syst., November, 2024

ML-based delay-angle-joint path loss prediction for UAV mmWave channels.
Wirel. Networks, July, 2024

Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network.
CoRR, 2024

Fiber Transmission Model with Parameterized Inputs based on GPT-PINN Neural Network.
CoRR, 2024

2023
Cross-Modality Channel Mixup and Modality Decorrelation for RGB-Infrared Person Re-Identification.
IEEE Trans. Biom. Behav. Identity Sci., October, 2023

Channel Modeling for UAV-to-Ground Communications With Posture Variation and Fuselage Scattering Effect.
IEEE Trans. Commun., May, 2023

CORDIC-Based General Multiple Fading Generator for Wireless Channel Digital Twin.
Sensors, March, 2023

Impacts of Flight Altitude and UAV Posture on the UAV-to-Ground Channel Gain.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

2022
Map-Based Channel Modeling and Generation for U2V mmWave Communication.
IEEE Trans. Veh. Technol., 2022

An Improved SVM-Based Air-to-Ground Communication Scenario Identification Method Using Channel Characteristics.
Symmetry, 2022

A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis.
Digit. Signal Process., 2022

Sparse Measurement Data Driven Air-to-Ground Path Loss Prediction over Vegetation Area.
Proceedings of the 96th Vehicular Technology Conference, 2022

2021
A Novel GBSM for Non-Stationary V2V Channels Allowing 3D Velocity Variations.
Sensors, 2021

A general altitude-dependent path loss model for UAV-to-ground millimeter-wave communications.
Frontiers Inf. Technol. Electron. Eng., 2021

Self-Supervised Pre-training on the Target Domain for Cross-Domain Person Re-identification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
A Geometry-Based Beamforming Channel Model for UAV mmWave Communications.
Sensors, 2020

Envelope Level Crossing Rate and Average Fade Duration of a Generic 3D Non-Stationary UAV Channel Model.
IEEE Access, 2020

Ray Tracing Based Path Loss Modeling for UAV-to-Ground mmWave Channels in Campus Scenario.
Proceedings of the Machine Learning and Intelligent Communications, 2020

Research on Source Detection and Its Performance Analysis in Sensor Array.
Proceedings of the Machine Learning and Intelligent Communications, 2020

A Novel Non-stationary Channel Model for UAV-to-Vehicle mmWave Beam Communications.
Proceedings of the Machine Learning and Intelligent Communications, 2020

Radar Target Detection Based on Information Theory.
Proceedings of the Machine Learning and Intelligent Communications, 2020

A V2V Channel Simulator for Velocity Variations in Non-isotropic Scattering Scenarios.
Proceedings of the Machine Learning and Intelligent Communications, 2020

Effects of Digital Map on the RT-based Channel Model for UAV mmWave Communications.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020


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