Area of research
Virology · Statistics and Probability
Research interest
Research focused on Fault (geology) and Control theory (sociology), with related work in Wind power, Laguerre polynomials, Fraction (chemistry). Notable publications include 'Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network', 'A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network', and 'A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction'.
Offset-controlled plane dynamics in dual memristors-radiated discrete Hopfield neuron
Dolutegravir/lamivudine versus bictegravir/emtricitabine/tenofovir alafenamide fumarate: Real-world assessment of effectiveness and weight Gain in naïve people living with HIV of Asian OrigiN (DRAGON)
Cross-channel image chain scrambling encryption algorithm using two memristor-based twin multi-scroll hyperchaotic systems
Prediction of Main Bearing Degradation Trends in Wind Turbines Based on Sinkhorn Distance and BiGRU-CBAM
Residential net load interval prediction based on stacking ensemble learning
Color image encryption based on discrete memristor logistic map and DNA encoding
Multiscale permutation entropy based on natural visibility graph and its application to rolling bearing fault diagnosis
Dual memristors-radiated discrete Hopfield neuron with complexity enhancement
Image Encryption Algorithm Based on a Hybrid Model of Novel Memristive Hyperchaotic Systems, DNA Coding, and Hash Functions
Estimation-Correction Modeling and Chaos Control of Fractional-Order Memristor Load Buck-Boost Converter
Fixed-time cross-combination synchronization of complex chaotic systems with unknown parameters and perturbations
Specified time dual-group synchronization of uncertain complex chaotic systems
Dual Projection Synchronization of Hyperchaotic Complex Systems with Complex Variables
Fault diagnosis of unknown device based on dynamic model and domain generalization
Wind power forecasting based on manifold learning and a double-layer SWLSTM model
Prevalence of and prognosis for poor immunological recovery by virally suppressed and aged HIV-infected patients
Erratum to: Novel Test Scenario Generation Technology for Performance Evaluation of Automated Vehicle
Research on Industrial Process Fault Diagnosis Based on Deep Spatio-Temporal Fusion Graph Convolutional Network
Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosis
Novel Test Scenario Generation Technology for Performance Evaluation of Automated Vehicle
Detection of unknown bearing faults using re-weighted symplectic geometric node network characteristics and structure analysis
Efficacy and Safety of a Simplified Lamivudine Plus Dolutegravir Dual Therapy in HIV-1–Infected Patients: A Multicenter Cohort Study in China
Fault feature enhancement and diagnosis of rolling bearing based on complex network
LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model
Finite-time function projective synchronization control method for chaotic wind power systems
Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network
A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network
A diagnosis framework based on domain adaptation for bearing fault diagnosis across diverse domains
Early fault diagnosis of bearing based on frequency band extraction and improved tunable Q-factor wavelet transform
The Ability of Baseline Triglycerides and Total Cholesterol Concentrations to Predict Incidence of Type 2 Diabetes Mellitus in Chinese Men and Women: A Longitudinal Study in Qingdao, China.