A5100653817- Catalysts for Methane Reforming
- Radiomics and Machine Learning in Medical Imaging
- Image Retrieval and Classification Techniques
- Carbon dioxide utilization in catalysis
- Metal-Organic Frameworks: Synthesis and Applications
- Digital Media Forensic Detection
- 3D Shape Modeling and Analysis
- Catalytic Processes in Materials Science
- Conflict of Laws and Jurisdiction
- Dispute Resolution and Class Actions
- Adversarial Robustness in Machine Learning
- Medical Image Segmentation Techniques
- CO2 Reduction Techniques and Catalysts
- Image Processing and 3D Reconstruction
- Cardiac Imaging and Diagnostics
- Ombudsman and Human Rights
- Anomaly Detection Techniques and Applications
Chongqing Technology and Business University
2025
Sun Yat-sen University
2025
Wuhan University
1995-2019
Subnanometric PdZn at a defect enriched ZnO/ZIF-8 interface acts as an efficient and selective catalyst for CO<sub>2</sub> hydrogenation to methanol.
Abstract Carbon dioxide is the primary greenhouse gas and its emission has caused serious problems with respect to climate change. Unremitting efforts are being made recycle of CO 2 through hydrogenation liquid fuels such as CH 3 OH. Pd–ZnO based nanoarchitectures one type ideal catalysts for hydrogenation. However, owing lack palladium reserves, enhancing catalytic efficiency selectivity nanostructures so that low loadings can be used remains a scientific challenge. Three types...
Anomaly detection is crucial in areas such as financial fraud identification, cybersecurity defense, and health monitoring, it directly affects the accuracy security of decision-making. Existing generative adversarial nets (GANs)-based anomaly methods overlook importance local density, limiting their effectiveness detecting objects complex data distributions. To address this challenge, we introduce a density-based (GALD) method, which combines distribution modeling capabilities GANs with...
Servo-free tilt-rotor UAVs decouple position and attitude control without using servos, which cuts structural weight removes the travel limits of traditional designs. In many applications—such as aerial platform operations airborne photogrammetry—large changes are required during hover. Conventional control-allocation schemes tend to distribute thrust unevenly, making actuators prone saturation. To overcome these challenges, we propose a thrust-balancing strategy specifically for...
SGLD (spatial gray level dependence) matrices are used to analyze the B-scan images of 23 samples normal stomach coats and 14 cancerous coats. According these matrices, values eight texture features each sample image computed. Two groups conditional frequency distributions obtained. On basis distributions, authors evaluated quality, which reflects error probability in discriminating between pattern classes all features. By comparing measurements select from most effective ones a stomach. The...
Cardiac B-mode ultrasonic tissue characterization is designed to use the fluctuations in acoustic signals from myocardium differentiate normal morbid tissues due their characteristic texture attenuation. In our paper, we suggest a new way that based on frequency-domain analysis quantify characterization. The results of experiments indicate three power spectrum features PSE, PSM and LT can describe myocardiac very well either or diseased condition. We select these together with another...
In this paper, we apply geodesic paths (the shortest path which is an important object in the task of 3D shape analysis) to description natural textures. We first introduce approach called propagation algorithm estimate on discrete surfaces and then derive a set texture features (LR, PLR, SDR, DIF 1c) from them. The results experiments indicate that these can reflect surface patterns various aspects are suitable for description.