A5101471416- Advanced ceramic materials synthesis
- Advanced materials and composites
- Aluminum Alloys Composites Properties
- Ferroelectric and Piezoelectric Materials
- Nuclear materials and radiation effects
- Catalytic Processes in Materials Science
- Microwave Dielectric Ceramics Synthesis
- Music and Audio Processing
- Oceanographic and Atmospheric Processes
- Music Technology and Sound Studies
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Semiconductor materials and devices
- Human Pose and Action Recognition
- Magnesium Oxide Properties and Applications
- Electronic and Structural Properties of Oxides
- High-Temperature Coating Behaviors
- Lattice Boltzmann Simulation Studies
- Advanced Image Fusion Techniques
- solar cell performance optimization
- Protist diversity and phylogeny
- Silicon and Solar Cell Technologies
- Thermal Radiation and Cooling Technologies
- Video Surveillance and Tracking Methods
- Quasicrystal Structures and Properties
East China University of Science and Technology
2022-2025
Ocean University of China
2023-2025
Harbin Institute of Technology
2021-2024
Keio University Shonan Fujisawa
2023
Tencent (China)
2022-2023
Beijing Normal University - Hong Kong Baptist University United International College
2023
Beijing Normal University
2023
Hong Kong Baptist University
2023
Cambridge University Hospitals NHS Foundation Trust
2023
Tibet University
2023
This study examines interface layout optimization to enhance visual search efficiency and cognitive performance in industrial manufacturing systems, addressing the high demands of human-machine interfaces. By improving information visualization, design can significantly operators' comprehension response time, ultimately boosting production efficiency. Two experiments were conducted: Experiment A assessed six configurations, identifying LT MT as most efficient for search. B used eye-tracking...
Abstract The low fracture toughness of equiaxed nanocrystalline ceramics is the main bottleneck its wide range commercial applications. Here, authors report a method to overcome this limitation for preparing ultra‐tough nanoceramics from using amorphous and supersaturated Al 2 O 3 /ZrO solid solution micro‐powders, which fabricated by Al–O ultrahigh‐temperature combustion synthesis assisted rapid water cooling. micro‐powders containing metastable dendritic solutions can induce three‐level...
Alumina toughened zirconia (ATZ) nanoceramics accompanied with high-strength, high-toughness and high-hardness were prepared by in-situ nanoprecipitation from using solid solution micro-powders. The submicron-sized Al2O3 (∼445 nm) ZrO2 (∼361 grains contained low-density precipitated nano-ZrO2 (∼35 nano-Y4Al2O9 (YAM, ∼87 particles, respectively, making high-performance nano-ATZ ceramics ultrafine intracrystalline nanostructure yet achieved. There was a parallel or eutectic lattice orientation...
Abstract Atomic layer deposition (ALD) has been a promising technique in fabricating membranes and tuning their properties with precision at the atomic level. Fabrication of zeolitic imidazolate framework (ZIF) using ligand‐induced permselectivation (LIPS) method starts formation an oxide mesoporous substrate by ALD is followed transformation this to ZIF vapor treatment. The objective step block mesopores thin deposit, that is, one small penetration depth thickness on top surface substrate....
The effective operation of atomic layer deposition (ALD) feeding system is the premise realizing specific ALD processes. In present work, a detailed computational fluid dynamics (CFD) model has been developed and validated, which accounts for roles valves manifolds. A numerical simulation compressible flow heat/mass transfer within was conducted. dosing amounts spatiotemporal distributions precursors can be accurately predicted using CFD model, as validated by experimental results. Different...
Video-language pre-training has attracted considerable attention recently for its promising performance on various downstream tasks. Most existing methods utilize the modality-specific or modality-joint representation architectures cross-modality pre-training. Different from previous methods, this paper presents a novel architecture named Memory-augmented Inter-Modality Bridge (MemBridge), which uses learnable intermediate modality representations as bridge interaction between videos and...
Abstract Machine Learning has been studied worldwide for its functions in data science and artificial intelligence (AI) fields. Previous works have shown the excellent performance of machine learning methods image classification. This paper uses various fashion product aims to analyze result predictions all classes first three ranked classes, meanwhile, compare discuss Support Vector (SVM), K Nearest Neighbor (KNN), Convolution Neural Network (CNN), Contrastive Language-Image Pre-training...