A5020008097- Granular flow and fluidized beds
- Lattice Boltzmann Simulation Studies
- Particle Dynamics in Fluid Flows
- User Authentication and Security Systems
- Biometric Identification and Security
- Mineral Processing and Grinding
- Heat Transfer and Optimization
- Machine Learning in Bioinformatics
- Aerosol Filtration and Electrostatic Precipitation
- Microfluidic and Bio-sensing Technologies
- Fluid Dynamics Simulations and Interactions
- Infant Health and Development
- Generative Adversarial Networks and Image Synthesis
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Time Series Analysis and Forecasting
- Advanced Malware Detection Techniques
- Music and Audio Processing
Chongqing University
2023-2024
Jiangsu University of Science and Technology
2022-2023
University of Shanghai for Science and Technology
2023
West China Medical Center of Sichuan University
2023
Deep learning has achieved significant success on intelligent medical treatments, such as automatic diagnosis and analysis of data. To train an system with high accuracy strong robustness in healthcare, sufficient training data are required when using deep learning-based methods. However, given that the collected by sensors embedded or mobile devices inadequate, it is challenging to effective efficient classification model state-of-the-art performance. Inspired generative adversarial...
With the rapid development of Internet Things (IoTs) and mobile communications, devices have become indispensable in our daily lives. Given substantial amount private information stored on these devices, security has emerged as a significant concern for users. Different from conventional methods such PINs, fingerprints, face IDs, which authenticate users only during initial login stage, continuous authentication ensures consistent verification while are use. Current require extensive data...
Sensor-based continuous authentication mechanisms have demonstrated promising capabilities in enhancing the security of smart devices. In this article, we present SNNAuth, a novel sensor-based Authentication system on smartphones that utilizes Spiking Neural Networks, leveraging biometric behavioral patterns captured by smartphone sensors. To enhance discriminative feature extraction, introduce positional encoding into time slicing normalized sensor data. We design artificial neural network...
To study the flow characteristics of particles in vertical tube, velocity is measured at minimum pressure drop (MPD) by using a high-speed particle image velocimeter (PIV). Firstly, pneumatic conveying system's and tube were investigated. Then, for axial fluctuation particles, continuous wavelet transform, one-dimensional discrete orthogonal decomposition are used to reveal dynamic based on time-frequency characteristics, contribution levels energy fluctuations, auto-correlation each level...
To investigate the system pressure drop distribution when conveying particle using different curvature radius pipes for pneumatic system, this paper measured velocity distribution, particle-particle collision characteristics, energy loss, minimum gas velocity, and power dissipation R/D = 3.75, 5, 6.25 pipes. Subsequently, artificial neural network technique is used to predict of system. It found that lower pipe with particles. Compared reduction in 3.18 5.27% pellets 5 pipes, respectively....