A5045526701- Image Enhancement Techniques
- Advanced Image Fusion Techniques
- Multi-Criteria Decision Making
- Advanced Decision-Making Techniques
- Innovative concrete reinforcement materials
- Video Surveillance and Tracking Methods
- Transportation Planning and Optimization
- Evaluation Methods in Various Fields
- Structural Behavior of Reinforced Concrete
- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- Concrete Corrosion and Durability
- Advanced Image Processing Techniques
- Brain Tumor Detection and Classification
Jilin Normal University
2024
Sichuan University
2024
Shandong University of Finance and Economics
2021-2022
The significance of Ultimate Bond Stress-Slip (UBS-S) in reinforced Ultra-High Performance Concrete (UHPC) structures cannot be overstated, as it directly affects their load-carrying capacity, structural integrity, and long-term performance. A comprehensive analysis the UHPC-Parallel Micro Element System (UHPC-PMES), including 144 specimens, evaluated computational efficiency proposed UBS-S model. To this end, most critical settings steel bar diameter, concrete cover, bond length, UHPC...
Accurate classification of rail transit stations is crucial for successful Transit-Oriented Development (TOD) and sustainable urban growth. This paper introduces a novel model integrating traditional methodologies with advanced machine learning algorithms. By employing mathematical models, clustering methods, neural network techniques, the enhances precision station classification, allowing refined evaluation attributes. A comprehensive case study on Chengdu validates model's efficacy,...
As one of the most common adverse weather phenomena, haze has caused detrimental effects on many computer vision systems. To eliminate effect haze, in field image processing, dehazing been studied intensively, and advanced algorithms have proposed. Physical model-based deep learning-based methods are two competitive for single dehazing, but it is still a challenging problem to achieve fidelity effectively simultaneously real hazy scenes. In this work, mixed iterative model proposed, which...
This paper presents a new approach based on optimization model to determine the weights of experts in multi-attribute group decision. Firstly, by minimizing sum differences between individual evaluations and overall consistent all experts, is established for determining expert weights. Then, rigorous proof unique existence solution analyzed detail, sequential least squares quadratic programming algorithm adopted solve model. Finally, reasonableness verified numerical experiments, i.e.,...
In this paper, a new method based on TOPSIS and optimization models is proposed for multi-attribute group decision-making in the environment of interval-valued intuitionistic fuzzy sets.Firstly, by minimizing sum differences between individual evaluations overallconsistent all experts, model established determining expert weights. Secondly, method, improved closeness index evaluating each alternative obtained. Finally, attribute weight determined establishing an with goal maximizing...
Single image deraining is an important problem in many computer vision tasks because rain streaks can severely degrade the quality. Recently, deep convolution neural network (CNN) based single methods have been developed with encouraging performance. However, most of these algorithms are designed by stacking convolutional layers, which encounter obstacles learning abstract feature representation effectively and only obtain limited features local region. In this paper, we propose a recurrent...