A5101795944- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Neural Network Applications
- AI in cancer detection
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Radiomics and Machine Learning in Medical Imaging
- Image Processing Techniques and Applications
- Metaheuristic Optimization Algorithms Research
- Visual Attention and Saliency Detection
- Fuzzy Logic and Control Systems
- Technology-Enhanced Education Studies
- Image and Video Stabilization
- Industrial Vision Systems and Defect Detection
- Chaos-based Image/Signal Encryption
- Nursing education and management
- Vehicle License Plate Recognition
- Healthcare professionals’ stress and burnout
- Artificial Intelligence in Healthcare and Education
- Handwritten Text Recognition Techniques
- Online Learning and Analytics
- Health and Well-being Studies
- Video Surveillance and Tracking Methods
- Internet Traffic Analysis and Secure E-voting
Beijing Jiaotong University
2021-2024
Guangdong Academy of Medical Sciences
2024
Southern Medical University
2024
Guangdong Provincial People's Hospital
2024
Beijing University of Posts and Telecommunications
2021-2023
Shijiazhuang University
2023
Hebei University of Technology
2023
Tianjin University
2021-2022
Xidian University
2014
Osaka City University
2003
With the increasing complexity of healthcare environment, issue nurse burnout has gradually received attention. Based on operating room, emergency centre, ICU and outpatient clinic a tertiary hospital in Guangzhou City, this study explores relationship between scheduling system, psychological support burnout, provides basis for development intervention strategies; uses Burnout Theory Demand-Control-Support Model as theoretical designing questionnaire containing three dimensions: burnout. As...
This study aims to use dialectical thinking explore the impacts and responses of Artificial Intelligence (AI) empowerment on students’ personalized learning. The effect AI student personalization is dissected through a literature review empirical cases. finds that plays significant role in promoting learning by enhancing effectiveness intelligent recommendation, automated feedback, improving independent ability, optimizing paths, however, wide application also brings problems such as...
This paper proposed an improved method for license plate recognition based on hierarchical classification. First, the of feature extraction and dimension reduction is presented by finding optimal wavelet packet basis in process decomposition K-L transform. Then algorithm introduced Finally, principles procedures using support vector machines, Harris corner detection digital character classification are explained detail. Simulation results indicate that performs well with higher speed...
The authors propose a parallel genetic algorithm on multiprocessor system (FIN-1) which has self-similarity network, and as its application, they constructed classifier such that the samples were classified into several classes based feature belonging to each sample. In process of designing was applied travelling salesman problem sample set in Euclidean space categories with measure distance.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Weakly supervised segmentation techniques based on medical images ease the reliance of models pixel-level annotation while advancing field computer-aided diagnosis. However, differences in nodule size thyroid ultrasound and limitations class activation maps weakly methods lead to under- over-segmentation problems prediction. To alleviate this problem, we propose a novel network. This method is dual branch soft erase module that expands foreground response region constraining erroneous...
In order to effectively improve the tracking performance of target in various complex environment process, reinforcement research features has become one important work. this paper, a Siamese network algorithm based on parallel channel attention mechanism (PCAM) is proposed by combining feature cascade with visual attention. Firstly, characteristics SENet and ECA are fully analyzed. Secondly, constructed module, which integrates global average pooling maximum pooling. Parallel not only...
A new steganalysis network based on local difference analysis to classify steganographic images by analyzing the feature differences between blocks within image was proposed in this paper, which reduces risk of payload mismatch and improves accuracy. The used a CNN residual structure extract features block images, formed sequence specific order performed analysis. We first introduce long short-term memory (LSTM) analyze smoothness sequence, then fuse extracted LSTM with statistical finally...
Cigarette empty thin head defect detection is an important step to ensure product quality in tobacco factories. To address the current problems about detecting with little content and low accuracy, a cigarette algorithm based on improved YOLOv5s proposed. Firstly, convolutional block attention mechanism introduced between neck emphasize extraction of features; then weighted bidirectional feature pyramid structure used improve network enhance fusion capability model; finally, lightweight...
Adaptive steganography is the most advanced currently, an important method to detect it integrate embedding probability into feature extraction of adaptive steganalysis. Unfortunately, existing methods directly use true maps, which are generated by prior knowledge: specific steganographic strategies and payloads. However, these cannot be known in advance for steganalysis tasks real world. To overcome this difficulty, we propose estimation algorithm based on local binary pattern (LBP) The...