A5101913234- Conducting polymers and applications
- Advanced Sensor and Energy Harvesting Materials
- Fluid Dynamics and Turbulent Flows
- Dielectric materials and actuators
- Turbomachinery Performance and Optimization
- Gas Sensing Nanomaterials and Sensors
- Cavitation Phenomena in Pumps
- Hydraulic and Pneumatic Systems
- Smart Parking Systems Research
- MRI in cancer diagnosis
- Combustion and flame dynamics
- Microbial Metabolic Engineering and Bioproduction
- TiO2 Photocatalysis and Solar Cells
- Heat Transfer Mechanisms
- Tactile and Sensory Interactions
- Biofuel production and bioconversion
- Enzyme Production and Characterization
- Advanced Steganography and Watermarking Techniques
- Radiomics and Machine Learning in Medical Imaging
- Electrochemical sensors and biosensors
- AI in cancer detection
- Vehicle License Plate Recognition
- Nuclear Engineering Thermal-Hydraulics
- Advanced Photocatalysis Techniques
Guilin University of Technology
2022-2025
Northwestern Polytechnical University
2022-2025
Harbin Institute of Technology
2024
Dalian University of Technology
2021-2023
License plate is an essential characteristic to identify vehicles for the traffic management, and thus, license recognition important Internet of Vehicles. Since 5G has been widely covered, mobile devices are utilized assist which a significant part Industry 4.0. However, there have always privacy risks due centralized training models. Also, trained model cannot be directly deployed on device its large number parameters. In this article, we propose federated learning-based framework (FedLPR)...
A simple rectangular-structured freestanding liquid-solid triboelectric nanogenerator (LS-TENG) was fabricated, which used fluorinated ethylene propylene (FEP) films and deionized water (DI) as friction materials. The LS-TENG can effectively convert mechanical energy into electrical under the extremely low-frequency shaking of 2 Hz shows greatly reliable stability. influence liquid volume units on output performance studied, mechanism electrification process analyzed by COMSOL Multiphysics...
AbstractsVarious pollutants formed by industrial production are difficult to degrade naturally and cause water pollution. This work focuses on the construction of an efficient stable self-driven photoelectrochemical co-catalytic device for degradation mixed organic pollutants. CdSe nanoparticles were grown in situ TiO2 nanowire arrays (TNWAs) with high aspect ratios a successive ionic layer adsorption reaction (SILAR) method, which forms CdSe/TNWAs heterojunction improves PEC performance...
Abstract The purpose of this paper is to suppress the tip leakage vortex and cavitation fuel pump by using casing slot. flow fields blades with different slots were studied numerical simulation under conditions no respectively. results show that loss increases 37 % compared condition without cavitation. Under conditions, optimal scheme c6 scheme, reduced 9.3 %. can be effectively cavitation, slot in a wide range axial positions. After applied, shape blade significantly changed, size reduced,...
Abstract Upstream vortex has a significant effect on the secondary flow structure of downstream turbine in stage environment. This study investigates with non-axisymmetric endwall profiling (NAEW) under interaction co-rotating incoming (V ic ). A half-delta wing generator is utilized to model V . The cascade case which exhibited maximum reduction loss NAEW no studied. mechanism analysed. could decrease near region by affecting horseshoe transport cascade. However, its was lower than...
Cellulose-derived materials have attracted extensive attention for applications in advanced electronics due to their abundance, low cost, light weight, and sustainability. Here, we report a paper-based triboelectric nanogenerator (TENG) which was made of sisal cellulose as the friction layer. The effects surface morphology, structure, dielectric properties paper (SCP) on output performance SCP-TENG were discussed. It is found that electrical can be improved controlled by chemically modifying...
Neoadjuvant chemotherapy (NAC) is the standard treatment for breast cancer patients. Patients achieving complete pathological response (pCR) after NAC usually have a good prognosis. However, automatic pCR prediction has been challenging problem due to lacking well annotations in 3D MRI. Thus far, unifying different annotation information predict tumor's early not systematically addressed. This paper proposes weakly and semi-supervised joint learning method that integrates attentional...