A5100706942- Advanced battery technologies research
- Electrocatalysts for Energy Conversion
- Advancements in Battery Materials
- Fuel Cells and Related Materials
- Industrial Vision Systems and Defect Detection
- Computational Fluid Dynamics and Aerodynamics
- Medical Image Segmentation Techniques
- Characterization and Applications of Magnetic Nanoparticles
- Recycling and Waste Management Techniques
- Advanced X-ray and CT Imaging
- Combustion and Detonation Processes
- Geomagnetism and Paleomagnetism Studies
- Power Systems and Renewable Energy
- Visual Attention and Saliency Detection
- Advanced Photocatalysis Techniques
- Medical Research and Treatments
- Soil and Land Suitability Analysis
- Integrated Circuits and Semiconductor Failure Analysis
- Lexicography and Language Studies
- Gear and Bearing Dynamics Analysis
- Soil Mechanics and Vehicle Dynamics
- Vehicle Dynamics and Control Systems
- Machine Learning and Data Classification
- Educational Technology and Assessment
- Extraction and Separation Processes
Guangxi University
2022-2025
Research Institute of Petroleum Exploration and Development
2024
Nanjing Library
2024
Wuhan University of Science and Technology
2024
First Affiliated Hospital Zhejiang University
2023-2024
Nanjing University of Aeronautics and Astronautics
2024
Guangzhou University
2023-2024
Harbin Institute of Technology
2024
Dongfeng Motor (China)
2024
Shanghai Institute of Technology
2023
Abstract As the demand for sustainable energy solutions grows, developing efficient conversion and storage technologies, such as fuel cells metal-air batteries, is vital. Oxygen Reduction Reaction (ORR) a significant limitation in electrochemical systems due to its slower kinetics. Although Pt-based catalysts are commonly used address this challenge, their high cost suboptimal performance remain obstacles further development. This review offers comprehensive overview of advanced support...
FVPT1, a novel heteropolysaccharide, was purified from the fruiting body of
This study proposes a mixed-integer programming-based hierarchical collaborative optimization (MIP-HCO) model to optimize the scheduling and execution of emergency launch missions, ensuring rapid response performance maximization under constrained time resources. The key innovation lies in integrating k-Nearest Neighbor (KNN) with Branch Bound (B&B) enhance computational efficiency global optimality. first layer constructs spatiotemporal model, considering sites, storage proximity,...
The utilization of optical and synthetic aperture radar (SAR) multi-source data to obtain better land classification results has received increasing research attention. However, there is a large property distributional difference between SAR data, resulting in an enormous challenge fuse the inherent correlation information characterize features. Additionally, scale differences various features remote sensing images also influence results. To this end, Siamese semantic segmentation network,...
Abstract Enhanced combustion technology is identified as a method that can improve both efficiency and energy utilization. In this article, bump turbulence structure designed for the channels of wave rotor combustor introduced. The effects are compared with those traditional straight-plate equivalent height. mechanisms through which influences flow field accelerates flame analyzed, impact various positions on outcomes explored. analysis results indicates exhibits superior advantages over...
Abstract The centripetal wave rotor combustor can better match the centrifugal compressor and axial turbine of reference machine, reduce size engine simplify transition section structure. In this paper, by changing parameters such as blade shape deflection angle, we use numerical simulation to investigate unsteady flow mixing characteristics complete optimization its It is shown that in all designed channels, both circumferential shear force pressure gradient will make distribution uneven...
Sequence processing is a fundamental research area in artificial intelligence (AI) that encompasses various tasks and applications. Existing models-such as recurrent neural networks (RNNs) transformers-have drawbacks such slow computation, high complexity, overfitting. In this article, we propose Weird-Net, novel sequence model leverages the weighted relative distance (Weird)-attention mechanism. Weird-Net can capture positional inductive relationships more robustly efficiently than...
Mountainous regions are prone to dammed lake disasters due their rough topography, scant vegetation, and high summer rainfall. By measuring water level variation, monitoring systems can detect events when mudslides block rivers or boost level. Therefore, an automatic alarm method based on a hybrid segmentation algorithm is proposed. The uses the k-means clustering segment picture scene in RGB color space region growing image green channel select river target from segmented scene. pixel...
Liver cancer has been one of the top causes cancer-related death. For developing an accurate treatment strategy and raising survival rate, differentiation liver cancers is essential. Multiphase CT recently acts as primary examination method for clinical diagnosis. Deep learning techniques based on multiphase have proposed to distinguish hepatic cancers. However, due recurrent mechanism, RNN-based approaches require expensive calculations whereas CNN-based models fail explicitly establish...
The constraints in traditional music style transfer algorithms are difficult to control, thereby making it challenging balance the diversity and quality of generated music. This paper proposes a novel weak selection-based generation algorithm that aims enhance both conditionally diffusion model audio, proposed is applied generate natural sleep In inference process music, evolutionary state determined by evaluating factors each iteration, while limiting potential range rates traits increase...
Abstract Wave rotor combustor technology is a new technical means to improve the thermal efficiency of aero-engine by using unsteady flow and constant volume combustion. In this article, influence wave channel structure on mixture formation in was studied numerical simulation. The results showed that internal field change any are similar. Flow separation will occur all channels, wake regions be formed channels. turbulence kinetic energy region increased, velocity pressure were decreased,...
Multi-phase computed tomography (CT) has become a leading modality for identifying hepatic tumors. Nevertheless, the presence of misalignment in images different phases poses challenge accurately and analyzing patient's anatomy. Conventional registration methods typically concentrate on either intensity-based features or landmark-based isolation, so imposing limitations accuracy process.