Yongsheng Qi
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View article: Parietal gamma oscillations decreased in cognitive biotype of depression
Parietal gamma oscillations decreased in cognitive biotype of depression Open
View article: CATR-Net: Cattle–Attentive transformer with adaptive and enhanced segmentation and recognition
CATR-Net: Cattle–Attentive transformer with adaptive and enhanced segmentation and recognition Open
View article: Cross-frequency coupling between low frequency and gamma oscillations altered in cognitive biotype of depression
Cross-frequency coupling between low frequency and gamma oscillations altered in cognitive biotype of depression Open
Aim The cognitive biotype of depression has been conceptualized as a distinct subtype characterized by unique distinct neural correlates and specific clinical features. Abnormal neural oscillations related to cognitive dysfunction have bee…
View article: Neural oscillations induced by gamma sensory entrainment in cognitive biotype of depression
Neural oscillations induced by gamma sensory entrainment in cognitive biotype of depression Open
Aim Abnormal neural oscillations have long been associated with cognition in depression, especially gamma oscillation that participates in neurocircuit function, emotion, and cognition. However, whether gamma sensory entrainment induces al…
View article: Mechanical Characterization of Carbon/Glass Fiber Hybrid Composites for Honeycomb-Structured Battery Enclosures
Mechanical Characterization of Carbon/Glass Fiber Hybrid Composites for Honeycomb-Structured Battery Enclosures Open
In this study, to optimize the lightweight design of power battery cases for new energy vehicles and meet impact resistance requirements, the mechanical properties of honeycomb sandwich composites were experimentally investigated by varyin…
View article: DBCA-Net: A Dual-Branch Context-Aware Algorithm for Cattle Face Segmentation and Recognition
DBCA-Net: A Dual-Branch Context-Aware Algorithm for Cattle Face Segmentation and Recognition Open
Cattle face segmentation and recognition in complex scenarios pose significant challenges due to insufficient fine-grained feature representation in segmentation networks and limited modeling of salient regions and local–global feature int…
View article: Transfer learning-based multiple digital twin-assisted intelligent mechanical fault diagnosis
Transfer learning-based multiple digital twin-assisted intelligent mechanical fault diagnosis Open
With the advancement of complex system diagnosis, prediction, and health management technologies, digital twin technology has become a prominent research area in the fields of intelligent manufacturing and system operation and maintenance.…
View article: Resonant wireless charging scheme
Resonant wireless charging scheme Open
In order to reduce the number of switching devices and passive components in the hybrid topology charging system based on resonant power transmission technology, and simplify the control strategy of primary and secondary sides, a hybrid se…
View article: Online cleaning of massive data in the evaluation of the health status of wind turbines
Online cleaning of massive data in the evaluation of the health status of wind turbines Open
The SCADA data of wind turbine contains a number of abnormal data, which seriously affects the prediction and evaluation of the health state of the turbine. Therefore, an abnormal data cleaning algorithm is proposed according to the measur…
View article: A Kernel Entropy Method and its Application in Monitoring and Assessment of Wind Turbine Degradation Performance
A Kernel Entropy Method and its Application in Monitoring and Assessment of Wind Turbine Degradation Performance Open
To overcome the problems of wind turbine (WT) degradation assessment, a new kernel entropy method based on supervisory control and data acquisition (SCADA) was proposed. This approach can be used to effectively monitor and assess WT perfor…
View article: A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients
A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients Open
Through the study of 400 groups of experimental data from 10 subjects, the results show that CCA-CWT-SVM has a classification accuracy of 91.76% within 2 s and an ITR of 48.92 bits/min, which are 10.88% and 13.18 bits/min higher than those…
View article: Three-Stage Wind Turbine Assessment Method: Condition Monitoring, Failure Prediction, And Health Assessment
Three-Stage Wind Turbine Assessment Method: Condition Monitoring, Failure Prediction, And Health Assessment Open
To improve the wind turbine shutdown early warning ability, we present a generalized model for wind turbine (WT) prognosis and health management (PHM) based on the data collected from the SCADA system. First, a new condition monitoring met…
View article: Author response for "Fermentation process quality prediction using teacher student stacked sparse recurrent autoencoder"
Author response for "Fermentation process quality prediction using teacher student stacked sparse recurrent autoencoder" Open
View article: Quadratic Mutual Information based Regression for Prediction of Quality Variable in Batch Process
Quadratic Mutual Information based Regression for Prediction of Quality Variable in Batch Process Open
Quality prediction is of great importance for batch processes. Predicting quality variable is a challenging task because of various factors such as strong nonlinearity and non-Gaussian exist in batch data. A quadratic mutual information ba…
View article: KECA Similarity-Based Monitoring and Diagnosis of Faults in Multi-Phase Batch Processes
KECA Similarity-Based Monitoring and Diagnosis of Faults in Multi-Phase Batch Processes Open
Multiple phases with phase to phase transitions are important characteristics of many batch processes. The linear characteristics between phases are taken into consideration in the traditional algorithms while nonlinearities are neglected,…
View article: Improved Batch Process Monitoring and Diagnosis Based on Multiphase KECA
Improved Batch Process Monitoring and Diagnosis Based on Multiphase KECA Open
Multiple phases with transitions from phase to phase are important characteristics of many batch processes. The linear characteristics of batch processes are usually taken into consideration in the traditional algorithms while the nonlinea…