Guojin Liu
YOU?
Author Swipe
View article: Graph Neural Networks for Fault Diagnosis in Photovoltaic-Integrated Distribution Networks with Weak Features
Graph Neural Networks for Fault Diagnosis in Photovoltaic-Integrated Distribution Networks with Weak Features Open
Effective diagnosis of distribution network faults is crucial to ensuring the reliability of power systems. However, the bidirectional power flow caused by the integration of new energy limits the effectiveness of traditional detection met…
View article: UNet-INSN: Self-Supervised Algorithm for Impulsive Noise Suppression in Power Line Communication
UNet-INSN: Self-Supervised Algorithm for Impulsive Noise Suppression in Power Line Communication Open
Impulsive noise suppression plays a crucial role in enhancing the reliability of power line communication (PLC). In view of the rapid advancement of deep learning methodologies, recently, studies on deep learning-based impulsive noise supp…
View article: Distribution Network Situational Awareness Prediction Based on Spatio-Temporal Attention Dynamic Graph Neural Network
Distribution Network Situational Awareness Prediction Based on Spatio-Temporal Attention Dynamic Graph Neural Network Open
Distribution network situational awareness prediction is a key technology for ensuring the safe and stable operation of distribution networks. However, most existing methods suffer from spatio-temporal dynamic correlation and dynamic topol…
View article: A Robust Method Based on Deep Learning for Compressive Spectrum Sensing
A Robust Method Based on Deep Learning for Compressive Spectrum Sensing Open
In cognitive radio, compressive spectrum sensing (CSS) is critical for efficient wideband spectrum sensing (WSS). However, traditional reconstruction algorithms exhibit suboptimal performance, and conventional WSS methods fail to fully cap…
View article: Role of the Central Cholinergic Nervous System in Motor and Non-Motor Symptoms of Parkinson’s Disease
Role of the Central Cholinergic Nervous System in Motor and Non-Motor Symptoms of Parkinson’s Disease Open
Parkinson’s disease (PD) is a prevalent neurodegenerative disorder that is characterized by both motor and non-motor symptoms. Although dopamine agonists have been demonstrated to be efficacious in the treatment of motor symptoms, their ca…
View article: Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing
Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing Open
Unmanned aerial vehicles (UAVs) furnished with computational servers enable user equipment (UE) to offload complex computational tasks, thereby addressing the limitations of edge computing in remote or resource-constrained environments. Th…
View article: <scp>VMD</scp>‐Based Feature Extraction and Enhanced <scp>GWO</scp>‐<scp>DBN</scp> for Health Assessment of Automatic Transfer Switching Equipment
<span>VMD</span>‐Based Feature Extraction and Enhanced <span>GWO</span>‐<span>DBN</span> for Health Assessment of Automatic Transfer Switching Equipment Open
This article proposes a method for assessing the health condition of automatic transfer switching equipment (ATSE) during the switching process. The method combines variational mode decomposition (VMD) with deep belief networks (DBN) for n…
View article: Multi-Teacher D-S Fusion for Semi-Supervised SAR Ship Detection
Multi-Teacher D-S Fusion for Semi-Supervised SAR Ship Detection Open
Ship detection from synthetic aperture radar (SAR) imagery is crucial for various fields in real-world applications. Numerous deep learning-based detectors have been investigated for SAR ship detection, which requires a substantial amount …
View article: Structural Colored Fabric Based on Monodisperse Cu2O Microspheres
Structural Colored Fabric Based on Monodisperse Cu2O Microspheres Open
Structural-colored fabrics have been attracting much attention due to their eco-friendliness, dyelessness, and anti-fading properties. Monodisperse microspheres of metal, metal oxide, and semiconductors are promising materials for creating…
View article: Multi-Teacher D-S Fusion for Semi-Supervised SAR Ship Detection
Multi-Teacher D-S Fusion for Semi-Supervised SAR Ship Detection Open
Ship detection from synthetic aperture radar (SAR) imagery is crucial for various fields in real-world applications. Numerous deep learning-based detectors have been investigated for SAR ship detection, which require a substantial amount o…
View article: Energy Conserved Failure Detection for NS-IoT Systems
Energy Conserved Failure Detection for NS-IoT Systems Open
Nowadays, network slicing (NS) technology has gained widespread adoption within Internet of Things (IoT) systems to meet diverse customized requirements. In the NS based IoT systems, the detection of equipment failures necessitates compreh…
View article: Graphene oxide incorporated thin film nanocomposite nanofiltration membrane to enhance permeation and antifouling properties
Graphene oxide incorporated thin film nanocomposite nanofiltration membrane to enhance permeation and antifouling properties Open
Aiming at the problems of low permeation flux and low salt rejection of polyamide (PA) nanofiltration (NF) membrane, this study improved the surface properties and structure of PA layer by adding hydrophilic GO nanosheets. Polyethylimide (…
View article: Growth of the new high-performance NLO crystal BaGa2GeSe6 via the controlled vapor pressure method
Growth of the new high-performance NLO crystal BaGa2GeSe6 via the controlled vapor pressure method Open
BaGa2GeSe6, a new nonlinear optical (NLO) crystal with various advantages, has important applications in environmental monitoring, medical diagnosis, infrared countermeasures and some other areas. In this paper, the high purity polycrystal…
View article: Investigation on effect of EVA on properties of desert sand-based permeable materials
Investigation on effect of EVA on properties of desert sand-based permeable materials Open
This paper aims at studying the effect of adding ethylene vinyl acetate (EVA) emulsion on the properties of desert sand-based permeable materials and explore the modification effect and mechanism of polymers. EVA emulsion can improve the f…
View article: Fabrication of Anatase TiO2/PVDF Composite Membrane for Oil-in-Water Emulsion Separation and Dye Photocatalytic Degradation
Fabrication of Anatase TiO2/PVDF Composite Membrane for Oil-in-Water Emulsion Separation and Dye Photocatalytic Degradation Open
At present, the types of pollutants in wastewater are more and more complicated, however, the multifunctional membrane materials are in short supply. To prepare a membrane with both high efficient oil-in-water emulsion separation performan…
View article: Federated Scheduling Optimization Scheme for Typed Tasks With Power Constraints in Heterogeneous Multicore Processor Architectures
Federated Scheduling Optimization Scheme for Typed Tasks With Power Constraints in Heterogeneous Multicore Processor Architectures Open
In heterogeneous multicore processor architectures, it is a critical concern to optimize the performance of typed tasks (real-time and non-real-time tasks) under limited power consumption. In this paper, we propose a power-constrained fede…