Li Zhou
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View article: Should the Workload of Combining Clinical Practice With Data Collection be Considered: A Survey of Physicians With Data Collection Experience
Should the Workload of Combining Clinical Practice With Data Collection be Considered: A Survey of Physicians With Data Collection Experience Open
Aim To survey the physician's attention to the workload of combining clinical practice with Traditional Chinese Medicine (TCM) data collection. Background With the development of artificial intelligence technology in the medical field, the…
View article: Radiomics-based machine learning for glioma grade classification: a multicenter study with SHapley Additive exPlanations interpretability analysis
Radiomics-based machine learning for glioma grade classification: a multicenter study with SHapley Additive exPlanations interpretability analysis Open
We successfully developed and validated a robust, interpretable radiomics-based model that accurately predicts glioma WHO grade preoperatively. Its promising performance across diverse datasets suggests potential for clinical translation, …
View article: Research on New Energy Storage Technology: Compressed Air Energy Storage, Forging a New Engine for Economic Growth of Manufacturing Enterprises
Research on New Energy Storage Technology: Compressed Air Energy Storage, Forging a New Engine for Economic Growth of Manufacturing Enterprises Open
Currently, the global energy transition is accelerating, and the large-scale integration of renewable energy has brought many thorny problems to the energy and power systems. In particular, the issues of renewable energy consumption and th…
View article: Design of a magnetorheological (MR) suspension damper for an agricultural tractor seat based on an adaptive neuro-fuzzy inference system (ANFIS) and active disturbance rejection control (ADRC)
Design of a magnetorheological (MR) suspension damper for an agricultural tractor seat based on an adaptive neuro-fuzzy inference system (ANFIS) and active disturbance rejection control (ADRC) Open
To enhance the vibration isolation functionality of the seat suspension system, particularly in the context of magnetorheological (MR) seat dampers, a pioneering semi-active controller integrating an adaptive neuro-fuzzy inference system (…
View article: Connectivity-Enhanced 3D Deployment Algorithm for Multiple UAVs in Space–Air–Ground Integrated Network
Connectivity-Enhanced 3D Deployment Algorithm for Multiple UAVs in Space–Air–Ground Integrated Network Open
The space–air–ground integrated network (SAGIN) can provide extensive access, continuous coverage, and reliable transmission for global applications. In scenarios where terrestrial networks are unavailable or compromised, deploying unmanne…
View article: GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction Open
With the advancement of artificial intelligence, 3D human pose estimation-based systems for sports training and posture correction have gained significant attention in adolescent sports. However, existing methods face challenges in handlin…
View article: Joint Resource Scheduling of the Time Slot, Power, and Main Lobe Direction in Directional UAV Ad Hoc Networks: A Multi-Agent Deep Reinforcement Learning Approach
Joint Resource Scheduling of the Time Slot, Power, and Main Lobe Direction in Directional UAV Ad Hoc Networks: A Multi-Agent Deep Reinforcement Learning Approach Open
Directional unmanned aerial vehicle (UAV) ad hoc networks (DUANETs) are widely applied due to their high flexibility, strong anti-interference capability, and high transmission rates. However, within directional networks, complex mutual in…
View article: A highly reliable encoding and decoding communication framework based on semantic information
A highly reliable encoding and decoding communication framework based on semantic information Open
Increasing research has focused on semantic communication, the goal of which is to convey accurately the meaning instead of transmitting symbols from the sender to the receiver. In this paper, we design a novel encoding and decoding semant…
View article: Hyperspectral Image Super-Resolution Based on Spatial-Spectral Feature Extraction Network
Hyperspectral Image Super-Resolution Based on Spatial-Spectral Feature Extraction Network Open
Constrained by the physics of hyperspectral sensors, the spatial resolution of hyperspectral images (HSI) is low. Hyperspectral image super-resolution (HSI SR) is a task to obtain high-resolution hyperspectral images from low-resolution hy…
View article: Islanding detection method for microgrids based on CatBoost
Islanding detection method for microgrids based on CatBoost Open
The occurrence of unintentional islanding will seriously threaten the stable operation of a microgrid (MG). Therefore, detecting the islanding of an microgrid timely is an important premise to ensure the microgrid operates safely and stabl…
View article: Research on the improvement path of technical service level in higher vocational colleges under the background of digital transformation
Research on the improvement path of technical service level in higher vocational colleges under the background of digital transformation Open
Facing the arrival of the digital age in the international community, vocational education must update the education mechanism in a timely manner to serve the digital transformation and upgrading of the regional economy.This paper analyzes…
View article: Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids
Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids Open
Multi-microgrids (MMGs) suffer from power shortages due to the loss of utility grid support when an unintentional transition occurs. This imposes a transient shock on the system voltage and frequency. To maintain the frequency stability an…
View article: A 3D REM‐Guided UAV Path Planning Method under Communication Connectivity Constraints
A 3D REM‐Guided UAV Path Planning Method under Communication Connectivity Constraints Open
With the emergence of a large number of smart devices, the radio environment in which unmanned aerial vehicles (UAVs) take tasks is becoming more and more complex, which puts forward higher requirements for UAVs’ situational awareness and …
View article: Joint Radio Map Construction and Dissemination in MEC Networks: A Deep Reinforcement Learning Approach
Joint Radio Map Construction and Dissemination in MEC Networks: A Deep Reinforcement Learning Approach Open
With the development of 6G, the rapidly increasing number of smart devices deployed in the Industrial Internet of Things (IIoT) environment has been witnessed. The radio environment is showing a trend of complexity, and spectrum conflicts …
View article: A Dueling Deep Recurrent <i>Q</i>‐Network Framework for Dynamic Multichannel Access in Heterogeneous Wireless Networks
A Dueling Deep Recurrent <i>Q</i>‐Network Framework for Dynamic Multichannel Access in Heterogeneous Wireless Networks Open
This paper investigates a deep reinforcement learning algorithm based on dueling deep recurrent Q ‐network (Dueling DRQN) for dynamic multichannel access in heterogeneous wireless networks. Specifically, we consider the scenario that multi…
View article: Intelligent Dynamic Spectrum Allocation in MEC‐Enabled Cognitive Networks: A Multiagent Reinforcement Learning Approach
Intelligent Dynamic Spectrum Allocation in MEC‐Enabled Cognitive Networks: A Multiagent Reinforcement Learning Approach Open
Making effective use of scarce spectrum resources, along with efficient computational performance, is one of the key challenges for future wireless networks. To tackle this issue, in this paper, we focus on the intelligent dynamic spectrum…
View article: Regulation of G6PD acetylation by SIRT2 and KAT9 modulates NADPH homeostasis and cell survival during oxidative stress
Regulation of G6PD acetylation by SIRT2 and KAT9 modulates NADPH homeostasis and cell survival during oxidative stress Open
Glucose-6-phosphate dehydrogenase (G6PD) is a key enzyme in the pentose phosphate pathway (PPP) and plays an essential role in the oxidative stress response by producing NADPH, the main intracellular reductant. G6PD deficiency is the most …
View article: The Theoretical Research on Modelling Method for the Grid Information Model of Substation
The Theoretical Research on Modelling Method for the Grid Information Model of Substation Open
On the basis of analyzing the logical structure of grid information model (GIM), a modeling method of GIM using the set theory is proposed for the substations. By studying the coupling principle of power flow and information flow, the GIM …
View article: A novel conversion prediction method of MCI to AD based on longitudinal dynamic morphological features using ADNI structural MRIs
A novel conversion prediction method of MCI to AD based on longitudinal dynamic morphological features using ADNI structural MRIs Open
Mild cognitive impairment (MCI) is a pre-existing state of Alzheimer's disease (AD). An accurate prediction on the conversion from MCI to AD is of vital clinical significance for potential prevention and treatment of AD. Longitudinal studi…
View article: Radio Environment Map Construction Using Super-Resolution Imaging for Intelligent Transportation Systems
Radio Environment Map Construction Using Super-Resolution Imaging for Intelligent Transportation Systems Open
Radio environment map (REM) has emerged as a crucial technology to improve the robustness of intelligent transportation systems (ITS) by enhancing network planning and spectrum resource utilization. To construct a precise REM, optimizing d…
View article: Bidding strategy of pumped storage power station in spot market considering different optimization periods
Bidding strategy of pumped storage power station in spot market considering different optimization periods Open
Pumped storage power station has multiple functions, such as alleviating the contradiction between peak and valley, to ensure the safe and economic operation of power grid. In the non market stage, pumped storage power stations mainly obey…
View article: Research on Prediction of Energy Storage Optimization Operation under the Power Internet of Things
Research on Prediction of Energy Storage Optimization Operation under the Power Internet of Things Open
The technological breakthrough of energy storage and the rapid decrease in cost make the application prospect of energy storage in power system more and more extensive, and will play an increasingly important role in the safe and efficient…
View article: Peak-to-Average Power Ratio Analysis for OFDM-Based Mixed-Numerology Transmissions
Peak-to-Average Power Ratio Analysis for OFDM-Based Mixed-Numerology Transmissions Open
In this paper, the probability distribution of the peak to average power ratio (PAPR) is analyzed for the mixed numerologies transmission based on orthogonal frequency division multiplexing (OFDM). State of the art theoretical analysis imp…
View article: Late Line-of-Sight Check and Prioritized Trees for Path Planning
Late Line-of-Sight Check and Prioritized Trees for Path Planning Open
How to generate a safe and high-quality path for a moving robot is a classical issue. The relative solution is also suitable for computer games and animation. To make the problem simpler, it is common to discretize the continuous planning …
View article: Noise-Robust Wagon Text Extraction Based on Defect-Restore Generative Adversarial Network
Noise-Robust Wagon Text Extraction Based on Defect-Restore Generative Adversarial Network Open
Wagon text extraction mainly depends on manual identification of relevant information, which is laborious, time consuming, monotonous and error-prone. To address this concern, we develop a two-stage wagon text extraction system based on th…
View article: Effectiveness of Electricity Derivatives Market Based on Hurst Exponent
Effectiveness of Electricity Derivatives Market Based on Hurst Exponent Open
The Rescaled Range Analysis method (R/S Analysis method) is applied to analyze the PJM electricity derivatives market through calculating V statistics and Hurst Exponent of three types of products. The study finds that there is no obvious …