Liang Zhang
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View article: Time-Frequency Collaborative Denoising for Audio-Magnetotelluric Data Using a Wavelet-Based Residual Network
Time-Frequency Collaborative Denoising for Audio-Magnetotelluric Data Using a Wavelet-Based Residual Network Open
The Audio-Magnetotelluric (AMT) method is a key geophysical technique for mineral resource exploration, but anthropogenic electromagnetic interference severely downgrades the data quality. In recent years, neural networks have shown result…
View article: Experimental Study on Static Ice Adhesion Characteristics of Wind Turbine Blade Surfaces After Sand Erosion
Experimental Study on Static Ice Adhesion Characteristics of Wind Turbine Blade Surfaces After Sand Erosion Open
To investigate how sand erosion impacts the anti-icing performance of wind turbine blade surfaces, this study experimentally examines the individual and interactive effects of four key factors—the freezing temperature, separation temperatu…
View article: Graph Neural Networks Empowered Origin‐Destination Learning for Urban Traffic Prediction
Graph Neural Networks Empowered Origin‐Destination Learning for Urban Traffic Prediction Open
Urban traffic prediction with high precision is always the unremitting pursuit of intelligent transportation systems and is instrumental in bringing smart cities into reality. The fundamental challenges for traffic prediction lie in the ac…
View article: AMT denoising via double sparse dictionary learning
AMT denoising via double sparse dictionary learning Open
Audio magnetotellurics (AMT) is commonly employed in the exploration of resources. However, the energy of AMT signals is relatively weak, making them susceptible to various artificial sources of interference, thus being submerged in intens…
View article: Experimental Study on the Influence of Water Barrier Placement Position on Shock Wave Pressure Peak
Experimental Study on the Influence of Water Barrier Placement Position on Shock Wave Pressure Peak Open
According to the self-built experimental platform, the shock wave experiment with and without a water barrier was carried out, the influence of the existence of a water barrier on the shock wave pressure peak was compared, and the influenc…
View article: Attention-based destruction and construction learning for infrared object fine-grained categorization
Attention-based destruction and construction learning for infrared object fine-grained categorization Open
The infrared ship fine-grained categorization technology has wide applications in both civil and military fields. In order to improve the fine-grained categorization accuracy of infrared ships, this paper integrates the channel attention m…
View article: FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting Open
Traffic flow forecasting plays a vital role in the transportation domain. Existing studies usually manually construct correlation graphs and design sophisticated models for learning spatial and temporal features to predict future traffic s…
View article: Lessons From the Commercial Failure of Project Loon for 6G Research Roadmap Design
Lessons From the Commercial Failure of Project Loon for 6G Research Roadmap Design Open
Currently, the sixth-generation (6G) communication research roadmap is being frequently discussed and designed, in which, undoubtedly, aerial telecommunication infrastructures play crucial roles for boosting transmission capacity, enlargin…
View article: Energy-Efficient Trajectory Optimization for UAV-Assisted IoT Networks
Energy-Efficient Trajectory Optimization for UAV-Assisted IoT Networks Open
In this paper, we propose and study an energy-efficient trajectory optimization scheme for unmanned aerial vehicle (UAV) assisted Internet of Things (IoT) networks. In such networks, a single UAV is powered by both solar energy and chargin…
View article: Energy-Efficient Trajectory Optimization for UAV-Assisted IoT Networks
Energy-Efficient Trajectory Optimization for UAV-Assisted IoT Networks Open
In this paper, we propose and study an energy-efficient trajectory optimization scheme for unmanned aerial vehicle (UAV) assisted Internet of Things (IoT) networks. In such networks, a single UAV is powered by both solar energy and chargin…
View article: Heterogeneous Traffic Offloading in Space-Air-Ground Integrated Networks
Heterogeneous Traffic Offloading in Space-Air-Ground Integrated Networks Open
While the 5-th generation of communication networks (5G) is taking its first deployment steps, high doubts still concern the fulfilment of the stringent requirements of its slices. To meet these complex requirements, robust access networks…
View article: Design of Broadband High Gain Polarization Reconfigurable Fabry-Perot Cavity Antenna Using Metasurface
Design of Broadband High Gain Polarization Reconfigurable Fabry-Perot Cavity Antenna Using Metasurface Open
A broadband high gain polarization reconfigurable antenna based on metasurface has been presented. The antenna is composed of a planar metasurface, a slot antenna and an air cavity. The metasurface is made up of 64 identical patches, and a…
View article: Individual differences under acute stress: Higher cortisol responders performs better on N-back task in young men
Individual differences under acute stress: Higher cortisol responders performs better on N-back task in young men Open
View article: Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNets
Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNets Open
Drone-mounted base stations (DBSs) are promising solutions to provide ubiquitous connections to users and support many applications in the fifth generation of mobile networks while full duplex communications has the potential to improve th…
View article: Rotation error analysis on slant 45° dual polarisation radar feature extraction
Rotation error analysis on slant 45° dual polarisation radar feature extraction Open
Polarisation is an inner property of electromagnetic wave. It has considerable significance to analyse the polarimetric feature of targets in target recognition and classification applications. Slant 45° dual polarisation measurement is wi…
View article: Polarimetric radar target recognition framework based on LSTM
Polarimetric radar target recognition framework based on LSTM Open
Polarimetric information is of great importance for radar target recognition. Conventional polarimetric features are hand‐designed based on scattering mechanism. In this study, a novel polarimetric target recognition framework based on lon…
View article: Security cooperation model based on topology control and time synchronization for wireless sensor networks
Security cooperation model based on topology control and time synchronization for wireless sensor networks Open
To address malicious attacks generated from wireless sensor networks (WSNs), in this paper, we study the difficulty of detecting uncoordinated behavior by using a model that is unreliable and has uncontrollable accuracy, trustless control,…
View article: I Spy with My Little Eye: Analysis and Detection of Spying Browser Extensions
I Spy with My Little Eye: Analysis and Detection of Spying Browser Extensions Open
Several studies have been conducted on understanding third-party user tracking on the web. However, web trackers can only track users on sites where they are embedded by the publisher, thus obtaining a fragmented view of a user's online fo…
View article: Effects of altruism and burnout on driving behavior of bus drivers
Effects of altruism and burnout on driving behavior of bus drivers Open