Ping Wang
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TRAIP enhances progression of tongue squamous cell carcinoma through EMT and Wnt/β-catenin signaling by interacting with DDX39A Open
Background Tongue squamous cell carcinoma (TSCC) is one of the most common malignant tumors with high mortality and poor prognosis. Its incidence rate is increasing gradually. Tumor necrosis factor receptor-associated factor interacting pr…
N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding Open
The first step to apply deep learning techniques for symbolic music understanding is to transform musical pieces (mainly in MIDI format) into sequences of predefined tokens like note pitch, note velocity, and chords. Subsequently, the sequ…
View article: Shadow-Based False Target Identification for SAR Images
Shadow-Based False Target Identification for SAR Images Open
In radar electronic countermeasures, as the difference between jamming and targets continues to decrease, traditional methods that are implemented based on classical features are currently unable to meet the requirements of jamming detecti…
An anti-interference method and system for detecting shallow-ground metal based on hyper-sphere model Open
Based on the research background of shallow-ground metal detection under the environment with the interference of steeling structure,a metal detection method based on the transient electromagnetic method is studied. The test platform is bu…
An aero-engine state evaluation method based on weighted Hellinger distance Open
In the process of prediction and health management (PHM) about remaining useful life (RUL) of aero-engine, the state evaluation of aero-engine by constructing health index (HI) plays a very important role. At present, in the research of ae…
Distributed Fault Detection for Linear Time-Varying Multi-Agent Systems With Relative Output Information Open
This paper investigates the distributed fault detection problem for linear discrete time-varying heterogeneous multi-agent systems under relative output information. Due to the lack of absolute outputs, an augmented model is built by stack…
A hybrid prognostics approach for estimating remaining useful life of wind turbine bearings Open
To handle the limitations from two types of methods, a hybrid prognostics approach is put forward to predict the remaining useful life (RUL) of wind turbine bearings in this paper. Firstly, the features of the signal are extracted from the…
A Learning-based Optimization Algorithm:Image Registration Optimizer Network Open
Remote sensing image registration is valuable for image-based navigation system despite posing many challenges. As the search space of registration is usually non-convex, the optimization algorithm, which aims to search the best transforma…
Optimized KLD-Based Fault Detection Method for Complex System Under Multi-Operation Conditions Open
With the increasing development of industrial technology, fault detection technology has been widely applied in many complex systems. Aiming at the problems of multi-operation conditions and the data length needed for fault detection using…
Fault Detection for Suspension System of Maglev Trains Based on Historical Health Data Open
To overcome the influence of multiple operating conditions for fault detection, this paper proposes a method to detect fault for the suspension system of maglev trains. Firstly, the complex operating condition of the maglev train is divide…
Fault Detection Method for Suspension Systems of Maglev Train Based on Optimized Random Matrix Theory Open
The fault detection of the suspension system in a maglev train is of great importance for its operational safety and reliability. However, in random matrix theory (RMT), the size of the random matrix direct impacts the result of the mean s…
A Classify-Before-Detect Method For Weakly Supervised Object Localization Open
Classify-Before-Detect (CBD) methods provide a reliable initialization for the object detector, and are widely used in weakly supervised object localization (WSOL). This paper proposes a new CBD method for WSOL based on saliency maps. A CN…
Fault Detection for Non-Gaussian Processes Using Multiple Canonical Correlation Analysis Models and Box-Cox Transformation Open
Although the canonical correlation analysis (CCA)-based method has been successfully applied to Gaussian processes, the methods cannot obtain good results for the non-Gaussian processes. Meanwhile, due to the different operating conditions…
Multi-Model Switching Based Fault Detection for the Suspension System of Maglev Train Open
In order to satisfy the requirements of on-line monitoring of the suspension system under complex conditions, a fault detection method for maglev train suspension system based on multi-model switching is proposed. In the proposed method, t…
CNN with coarse‐to‐fine layer for hierarchical classification Open
Most of the traditional convolution neural network (CNN)‐based classification models are flat classifiers, which have an underlying assumption that all classes are equally difficult to distinguish. However, visual separability between diff…
Restoration of longitudinal laser tomography target image from inhomogeneous medium degradation under common conditions Open
In order to overcome the shortages of the target image restoration method for longitudinal laser tomography using self-calibration, a more general restoration method through backscattering medium images associated with prior parameters is …
Reconstruction of target image from inhomogeneous degradations through backscattering medium images using self-calibration Open
Target images recorded with range-gated laser imaging systems and conventional passive imaging systems through rapidly changing turbid mediums inevitably suffer from inhomogeneous degradations. Consequently, this makes the images partly or…