A5027415576- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
- Scheduling and Optimization Algorithms
- AI and Multimedia in Education
- Fault Detection and Control Systems
- Textile materials and evaluations
- Human Pose and Action Recognition
- RNA modifications and cancer
- Microfluidic and Capillary Electrophoresis Applications
- Hand Gesture Recognition Systems
- Human Motion and Animation
- Vehicle Routing Optimization Methods
- 3D Shape Modeling and Analysis
- Cancer Cells and Metastasis
- RNA and protein synthesis mechanisms
- Advanced Manufacturing and Logistics Optimization
- Target Tracking and Data Fusion in Sensor Networks
- Structural Health Monitoring Techniques
- Bioinformatics and Genomic Networks
- Infrared Thermography in Medicine
Hong Kong University of Science and Technology
2024
University of Hong Kong
2024
Guangzhou Xinhua University
2022-2024
Anhui Xinhua University
2022-2024
We developed an automated, portable, label-free microfluidic device that utilizes image processing algorithms to recognize patient-derived tumor organoids of specific sizes and microvalve-controlled deflection for efficient sorting collection.
Tumor organoids are biological models for studying precision medicine. Microfluidic technology offers significant benefits high throughput drug screening using tumor organoids. However, the range of concentrations achievable with traditional linear gradient generators in microfluidics is restricted, generating logarithmic concentration gradients by adjusting channel ratio chip confined to single-drug dilution chips, significantly restricting application screening. Here, we presented a...
Human posture equipment technology has advanced significantly thanks to advances in deep learning and machine vision. Even the most models may not be able predict all body joints accurately. This paper proposes an adaptive generative adversarial network improve human detection algorithm order address this issue. GAN is used detect improvement. The uses OpenPose connect keypoints then generates heat maps system model. During training process, confidence evaluation mechanism added generator...
With the rapid progress of computer vision and deep learning techniques, accurately predicting continuous human motions from very few image inputs generating high-quality 3D models has become a cutting-edge research direction in this field. Despite achievements 2D to conversion it is still great challenge capture coherent movements limited frames generate texture-rich models. In paper, we propose clothed body generation method based on Inter-Frame Motion Prediction (IFMP for short) images,...
With the intensification of market competition and increase uncertainty, rapid response enterprises their supply chains to demand is becoming more crucial. This paper focuses on time uncertainty which affects time, studies optimization production routing collaborative scheduling problem. Because problem can be regarded as integration planning vehicle problem, are both affected by processes transportation. The minimization expectation total completion model first proposed, then cost...