A5042219563- Anomaly Detection Techniques and Applications
- Connective tissue disorders research
- Molecular Communication and Nanonetworks
- Advanced Neural Network Applications
- Construction Project Management and Performance
- Electricity Theft Detection Techniques
- Vehicle License Plate Recognition
- S100 Proteins and Annexins
- Industrial Vision Systems and Defect Detection
- Quality and Supply Management
- Currency Recognition and Detection
- Video Surveillance and Tracking Methods
- Congenital gastrointestinal and neural anomalies
- Congenital heart defects research
- BIM and Construction Integration
- Distributed Control Multi-Agent Systems
- Value Engineering and Management
- Connective Tissue Growth Factor Research
- Supply Chain Resilience and Risk Management
- Sustainable Supply Chain Management
China-Japan Friendship Hospital
2025
Peking University
2025
Capital Medical University
2024
Illinois Institute of Technology
2023
Xihua University
2023
With the help of adaptive gain control algorithm and flocking SWARM with adversarial agents, project described in this article makes entire system communication-free while maintaining same functionality performance. It outlines entirety biologically inspired swarm intelligence's thought process, from inception to conclusion (Flocking algorithm). The is dependable practically impenetrable under a variety conditions. neighbor observation for group conjecture then strengthened by use technique...
Purpose To further promote application of BIM technology in construction prefabricated buildings, influencing factors and evolution laws willingness to apply are explored from the perspective participants. Design/methodology/approach In this paper, a tripartite game model involving design firm, component manufacturer firm is constructed system dynamics method used explore path three parties' technology, perspectives, cost, benefit risk. Findings The government should formulate measures for...
Identifying key factors affecting the resilience of a prefabricated building supply chain and exploring effect mechanism these can help to improve chain. The main are sorted out first on basis Hall’s 3D theory related research results. Then, relationships between dynamic change influence studied through simulation by combining fuzzy set theory, decision-making experimental analysis, system dynamics method. results show that 10 s-level factors, such as disruption risk prediction information...
The operation of distribution networks is currently facing potential safety and quality defects that pose significant hazards. One solution to strengthen management, reduce manual workload, improve efficiency by applying deep detection for dynamic defect in network engineering. To start, engineering are classified. Then, advanced their applications researched analyzed, along with a review existing research. Key issues solutions application summarized. Finally, future research directions...
The use of deep detection networks can help to enhance the management, reduce workload, and improve efficiency quality dynamic defect in distribution network engineering. This involves classifying defects, researching analyzing advanced their applications detection, reviewing existing research, identifying key issues solutions. paper also explores future research directions provide useful references for studies. Overall, aim is address potential safety mitigate hazards operation networks.
"Crowded pedestrian detection" is a hot topic in the field of detection. To address issue missed targets and small pedestrians crowded scenes, an improved DETR object detection algorithm called DETR-crowd proposed. The attention model used as baseline to complete absence partial features scenes. deformable encoder introduced effectively utilize multi-scale feature maps containing large amount target information improve accuracy pedestrians. enhance efficiency important extraction refinement,...