A5102870005- Big Data and Digital Economy
- Advanced Neural Network Applications
- Advanced battery technologies research
- Advanced Photocatalysis Techniques
- Visual Attention and Saliency Detection
- Advanced Memory and Neural Computing
- Electrocatalysts for Energy Conversion
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- CCD and CMOS Imaging Sensors
Wuhan University of Science and Technology
2022-2024
Abstract The universal preparation of noble metal single‐atom catalysts (NMSACs) is critical for efficient sustainable energy conversion. In this study, a versatile sowing strategy proposed to prepare the NMSACs with hyper‐low loading. A metal‐organic framework derived Ni(OH) x Ni 2+ vacancies serves as fertile soil plentiful trapping holes, where Pt atom seeds can be inserted. atoms tend form tetradentate Pt‐O 4 roots, confining loading concentration range (≈0.17 wt%). This Pt‐Ni(OH)...
Nowadays, many transformer's model optimization schemes are based on clustering algorithms, for example, Reformer utilizes locally sensitive hashing, Routing Transformer k-means clustering, etc. All these methods densities. However, the algorithms consistency perform poorly non-Gaussian distributed data sets. Unfortunately, connectivity-based tend to have higher time complexity than previous algorithms. To address above problems, we propose an efficient sparse transformer software and...