A5100732107- Chemical and Physical Properties in Aqueous Solutions
- Titanium Alloys Microstructure and Properties
- Advanced Adaptive Filtering Techniques
- Thermodynamic properties of mixtures
- Image and Signal Denoising Methods
- Sparse and Compressive Sensing Techniques
- Microstructure and Mechanical Properties of Steels
- Advanced Algorithms and Applications
- Ionic liquids properties and applications
- Diffusion Coefficients in Liquids
- Metal Alloys Wear and Properties
- Microwave Imaging and Scattering Analysis
- Advanced Computational Techniques and Applications
- Aluminum Alloys Composites Properties
- High Temperature Alloys and Creep
- Blind Source Separation Techniques
- Materials Engineering and Processing
- Crystallization and Solubility Studies
- Bone Tissue Engineering Materials
- Heat Transfer Mechanisms
- Power Line Communications and Noise
- Microstructure and mechanical properties
- Speech and Audio Processing
- Surfactants and Colloidal Systems
- Advanced materials and composites
Shenzhen University
2017-2023
RWTH Aachen University
2023
Jiangsu University of Science and Technology
2022
Jilin University
1992-2016
Henan Normal University
2008-2013
University of Helsinki
2002
With the increasing demand for innovative therapies, biodegradable magnesium has attracted more and attention, which could avoid secondary surgery reduce complications. Until now, plenty of researchers take part in research & development this field, many articles have been published every year. However, it is a huge challenge to predict trends definite topics researchers, result low value, wasted resources even slowed medical device transformation. Usually, reviews summarize specific topic,...
In this paper, the heat transfer and flow characteristics of a helically coiled tube with twisted elliptical in low Reynolds number (Re = 500–3000) were investigated numerically. The working fluid flowed laminar regime. Numerical results compared empirical correlations existing literature, demonstrating accuracy analysis study. Firstly, we effects geometric parameters on characteristics. showed that lower twist pitch length semi-major axis could induce sufficient mixing larger temperature...
The influence of Al on the grain size, morphology, and size distribution austenite is investigated in a wide range austenitizing temperatures holding times. In general, addition 1.1 wt% significantly increases austenitic at all corresponding conditions. growth mode none Al-added steel abnormal temperature 1100–1200 °C, while that high has already become normal same range. results indicate can accelerate grains, mainly because content affected Zener drag solute by reducing activity...
Compressive sensing has been proved as an effective approach for the wireless communications. However, it is challenging to efficiently recover wideband spectrum signals with low signal-to-noise ratio (SNR). To solve this problem, we exploit a deep neural network-based robust alternating direction method of multipliers (R-ADMM) network. This network can suppress noise and optimize learnable parameters operations signal reconstruction speed up convergence. Furthermore, adopt numerical...
Abstract To address the problems of considerable redundancy and weak transmission security multi-channel real-time vibration monitoring data industrial robots, in this research a compressed sensing (CS)-based method to compress robot has been proposed. Firstly, multi-sensor is fused into comprehensive signal by cross-correlation function fusion algorithm, which can significantly reduce among sensors improve quality. Then, discrete cosine transform matrix used for sparse decomposition...
A recursive least square (RLS) based complex adaptive notch filter (ANF) using the Steiglitz-McBride (SM) method is proposed to suppress radio frequency interference (RFI) in very-high-speed digital subscriber line (VDSL) systems. The RLS-SM ANF converges fast and requires less computational complexity than existing direct form constrained a prediction error (RPE) algorithm. algorithm specially advantageous when dealing with multiple RFI's.
This paper proposes a data mining classification algorithm named SRmix (the mixture of SVM and RBF network) which can enhance the generalization ability classical network. The model is based on idea complementarity cooperation. novelty lies in using support vector machine (SVM) to determine relevant key parameters Radial Basis Function Neural Network (RBFNN) elaborating relationship between these two models different aspects. experimental results also show that performs satisfactory...