A5101911434- Advanced battery technologies research
- Advanced Battery Materials and Technologies
- Advanced Battery Technologies Research
- Advanced Algorithms and Applications
- Face and Expression Recognition
- Graphene research and applications
- Advanced Image Fusion Techniques
- Hydraulic and Pneumatic Systems
- Image and Signal Denoising Methods
- Traffic Prediction and Management Techniques
- Layered Double Hydroxides Synthesis and Applications
- High Entropy Alloys Studies
- Advanced Measurement and Detection Methods
- Graphene and Nanomaterials Applications
- Electrocatalysts for Energy Conversion
- High-Temperature Coating Behaviors
- Carbon Nanotubes in Composites
- Geotechnical Engineering and Underground Structures
- Text and Document Classification Technologies
- Thermal Analysis in Power Transmission
- Advanced Computing and Algorithms
- Cavitation Phenomena in Pumps
- Advanced Fiber Optic Sensors
- Hydraulic flow and structures
- Catalytic Processes in Materials Science
Guilin University of Technology
2024-2025
Powerchina Huadong Engineering Corporation (China)
2024
PowerChina (China)
2024
Shandong University of Science and Technology
2023
North China University of Water Resources and Electric Power
2022
Ningbo Academy of Agricultural Sciences
2022
Hebei University of Technology
2012-2013
Nanocrystalline FeCoNi medium‐entropy alloys (MEAs), characterized by their unique internal microstructure and substantial industrial application potential, often exhibit superior performance compared to conventional high‐entropy alloys. Herein, nanocrystalline MEAs are fabricated using an alternating current pulse electrodeposition method. The microstructure, crystallographic characteristics, mechanical properties of the electrodeposited layers systematically investigated. A MEA foil with a...
Hyperspectral image denoising is an important research topic in the field of remote sensing processing. Recently, methods based on non-local low-rank tensor approximation have gained widespread attention towing to their ability fully exploit self-similarity. However, existing fall short capturing correlations between various modes hyperspectral images, thus failing achieve optimal approximation. To solve this issue, a novel three-directional log-based nuclear norm (3DLogTNN)-based model...
Abstract 220 kV high-voltage submarine cables find extensive application in offshore wind power transmission systems. Ensuring the safe operation of these involves accurately detecting and assessing extent damage to cable sheath. This study begins by constructing a finite element simulation model for based on its actual model. Subsequently, method evaluating sheath’s state is proposed using BP neural network. The network takes ambient temperature, current, six-point temperatures damaged...
In the field of algorithm research, problem single-source shortest path has been discussed for a long time. this paper, single source based on Q-learning is studied. reinforcement learning that iterates to update Q value each state-action pair determine optimal path. When solving problem, node in graph regarded as state, and edge between an action. By using algorithm, we can find strategy, is, minimize total cost from starting point end point, then This paper introduces implementation...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Aqueous zinc-ion battery system is expected to drive the commercialization of batteries. However, it still faces challenges such as low zinc anode utilization and hydrogen evolution. This study demonstrates fabrication ultrathin electrodes with a robust Zn(002) texture while ensuring an adequate supply metal for use material. approach effectively suppresses tendency atoms undergo deposition transformation due dislocation-induced phenomena. Compared foils higher amount, Zn exhibits enhanced...
The water inlet channel is an essential component of the thermal power plant’s circulating system. It primarily arranges flow in so that it introduced into pump room smoothly, steadily, and uniformly. Significantly, operation state impacted by condition channel. coal-fired generating set’s input was chosen as research object this work, Computational Fluid Dynamics (CFD) Method used to examine hydraulic issues impacting anomalous vibration pumps. Nine optimization options were also suggested,...
Semi-supervised dimensionality reduction is becoming one of the most popular fields nowadays. But existing algorithms can not fully utilize information in as side treated equally. A new semi-supervised algorithm called Geodesic distance based locality (GSLDR) proposed for handwriting data to overcome shortcomings. Since Euclidean cannot really reflect structure data, we adopt geodesic measurement. Then expands pairwise constraints strengthen guiding role reduction, and add nearest neighbor...
Considering the research of driving state monitoring and trajectory tracking technology autonomous vehicles in roads under low permeability conditions is an important technical means to alleviate traffic problems ensure safety, which great significance improve safety robustness driving. However, traditional algorithm has problem insufficient data accuracy cannot effectively obtain holographic state. Accordingly, this paper proposes a forward vehicle prediction based on combination...
The existing semi-supervised dimensionality reduction algorithms regard the side information as equal, which can not fully utilize information. A novel algorithm called weight pair wise constraints based locality is proposed. expands by k-nearest neighborhood graph, increase number of constraints. integrated into graph to revise it and are propagated neighbors at same time. Then each constraint weighted its power. projection found on revised constraints, only maintain local geometric...