A5100770288- Remote-Sensing Image Classification
- Traffic Prediction and Management Techniques
- Remote Sensing and Land Use
- Induction Heating and Inverter Technology
- Medical Imaging and Analysis
- Advanced Image Fusion Techniques
- Electric Motor Design and Analysis
- Pelvic and Acetabular Injuries
- Additive Manufacturing Materials and Processes
- Image Retrieval and Classification Techniques
- Human Mobility and Location-Based Analysis
- Anomaly Detection Techniques and Applications
- Magnetic Properties and Applications
- Trauma Management and Diagnosis
- Shoulder Injury and Treatment
- Hip disorders and treatments
- Nanoplatforms for cancer theranostics
- Advanced Research in Science and Engineering
- Nanopore and Nanochannel Transport Studies
- Graphene research and applications
- Vehicle License Plate Recognition
- Traffic and Road Safety
- Autonomous Vehicle Technology and Safety
- E-commerce and Technology Innovations
- Diamond and Carbon-based Materials Research
Guangdong Medical College
2005-2024
Fujian University of Technology
2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2024
Wuhan University
2024
Xi’an University
2023
Xi'an University of Technology
2023
China University of Geosciences
2022
South China University of Technology
2022
State Key Laboratory of Vehicle NVH and Safety Technology
2020
Jiangsu University
2019-2020
Remote sensing image change detection aims to identify differences between images acquired at different times in the same area, crucial for land management, environmental monitoring, and disaster assessment. Current methods mainly use Siamese or early fusion structures. networks focus on object features but lack attention information, leading false alarms missed detections. Early structures fused neglect temporal features, hindering accurate detection. To address these issues, we propose a...
This article investigates a multiharmonics linear primary permanent magnet vernier machine. With the adoption of nonuniformly distributed PM arrays along air gap, richer harmonics are achieved and make its performance superior to conventional First, structures described compared. Then, their operation principles analyzed by flux modulation theory. The electromagnetic performances two machines compared through finite element method theoretical analysis. results show that machine offers 15%...
China’s widely adopted expressway ETC system provides a feasible foundation for realizing co-operative vehicle–infrastructure integration, and the accuracy of data, which forms basis this scheme, will directly affect safety driving. Therefore, study focuses on abnormal data in an system. This combines road network topology capture to mine patterns it designs identification model transaction based TL-XGBoost. categorizes into four distinct classes: missing detections, opposite lane detection,...
Precise travel time prediction benefits travelers and traffic managers by enabling anticipation of future roadway conditions, thus aiding in pre-trip planning the development control strategies. This approach contributes to reducing alleviating congestion issues. To achieve real-time state perception vehicles on expressways, we propose an algorithm estimate arrival next segment using Electronic Toll Collection (ETC) data. Firstly, characteristics ETC data GPS are meticulously described. We...
This paper presents the comparative analysis of performance between linear primary permanent magnet vernier machine and conventional machine. Through finite element analysis, configurations their performances such as back electromagnetic force average thrust are analyzed. The results show that possess higher efficiency than Finally, experiments carried out for verification.
Recognizing speed limit information is crucial for advanced driver assistance systems (ADAS) as it directly affects the safety planning and decision-making process of intelligent driving systems. However, traditional image recognition-based solutions confront inherent restrictions precision issues due to uncontrolled external factors. This paper endeavors present a novel, data-driven solution recognition that leverages stability maturity technologies, overcoming these challenges. We...
Change detection, as a research hotspot in the field of remote sensing, has witnessed continuous development and progress. However, discrimination boundary details remains significant bottleneck due to complexity surrounding elements between change areas backgrounds. Discriminating boundaries large results misalignment, while connecting occurs for small targets. To address above issues, novel network based on localization-then-refinement strategy is proposed this paper, namely LRNet. LRNet...
Abstract Staphylococcus aureus (S. aureus) is a leading cause of Periprosthetic joint infection (PJI), severe complication after arthroplasty. Immunosuppression major factor contributing to the chronicity S. PJI, posing significant treatment challenges. This study investigates relationship between immunosuppressive biofilm milieu and PJI outcomes in both discovery validation cohorts. scRNA‐seq analysis synovium from patients reveals an expansion heightened activity monocyte‐related...
The prediction of expressway vehicle trajectories is a crucial aspect in the development intelligent expressways. This paper proposes novel approach, namely W-GRU-Attention (WGA) model, which utilizes ETC transaction data to predict trajectory selection based on historical traffic paths and previous passed gantry information. In this study, we apply concept word embedding models extract contextual semantics from Additionally, introduce an average pooling technique for converting into...
Objective To investigate the modeling of digital Sanders classification for calcaneus fractures. Methods The enrolled healthy male volunteers, who had no congenital foot disease and trauma history, were taken regular physical examination imaging to exclude abnormal lesions, agreed take part in research content, whose data collected by 64-slice CT scan. And exported form dicom process image segmentation via Mimics 10.01, build complete three-dimensional calcaneus. Based on principles,...
Remote sensing image change detection aims to identify the differences between images acquired at different times in same area. It is widely used land management, environmental monitoring, disaster assessment and other fields. Currently, most methods are based on Siamese network structure or early fusion structure. focuses extracting object features but lacks attention information, which leads false alarms missed detections. Early (EF) after of phases ignores significance for detecting...
Objective To optimize the topological design of locking plate for distal radial fracture so that internal fixation stiffness can be customized. Methods Models both and conventional were constructed using software three-dimensional modeling computer-aided design. Based on data from our previous finite element analysis, a decrease 33.33% in axial but retention more than 90.00% torsional defined as optimization limits. The was redesigned by way iterations. Finite analysis done to compare...