A5025861927- Catalytic Processes in Materials Science
- Image and Signal Denoising Methods
- Electrocatalysts for Energy Conversion
- Advanced Adaptive Filtering Techniques
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Natural Language Processing Techniques
- Free Radicals and Antioxidants
- Machine Learning in Materials Science
- Metallurgy and Material Forming
- Blind Source Separation Techniques
- Image Retrieval and Classification Techniques
- Advanced Graph Neural Networks
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Advanced machining processes and optimization
- Polyoxometalates: Synthesis and Applications
- Oxidative Organic Chemistry Reactions
- Advanced Surface Polishing Techniques
- Topic Modeling
- CO2 Reduction Techniques and Catalysts
Fujian Normal University
2024-2025
Institute of Software
2023-2024
University of Chinese Academy of Sciences
2024
Tianjin University
2007
The development of Pd-based materials with high activity and long-term stability are crucial for their practical applications as an anode catalyst in direct formic acid fuel cells. Herein, we reveal...
Direct formic acid fuel cells (DFAFCs) can directly convert chemical energy into electrical with high efficiency and low carbon nitrogen oxide emissions.
The measurement and identification method for superabrasive shape features was proposed based on the digital image processing techniques. A system of established described in this paper. Matrix Laboratory (MATLAB) software programmed to fulfil grains. Image includes collection abrasive grains by Charge Coupled Device (CCD), enhancement, binarisation, filter boundary detection. Equivalent set calculate size regular As irregular grains, distribution could be determined with coefficients....