A5036885007- Human Mobility and Location-Based Analysis
- Domain Adaptation and Few-Shot Learning
- Privacy, Security, and Data Protection
- Endometrial and Cervical Cancer Treatments
- Visual Attention and Saliency Detection
- Cancer survivorship and care
- Advanced Neural Network Applications
- Artificial Intelligence in Healthcare and Education
- Breast Cancer Treatment Studies
- Privacy-Preserving Technologies in Data
- Advanced Data and IoT Technologies
- Anomaly Detection Techniques and Applications
- Video Surveillance and Tracking Methods
- Traffic Prediction and Management Techniques
- Green IT and Sustainability
- Machine Learning and Data Classification
- Air Quality Monitoring and Forecasting
North China University of Science and Technology
2021-2023
In recent years, pedestrian and vehicle detection at night has become an important subject of computer vision applications. Because the environment light is weak night, common traditional camera-input algorithms often performs poorly. Pedestrians vehicles in infrared images are usually brighter than surrounding have salient features. this paper, a fast saliency map targets used to achieve rapid acquisition areas interest for pedestrians vehicles. Based on this, we propose method refine...
A rational approach to predict passenger car sales and analyze the current state of market can contribute healthy development automotive industry. The number features used describe in real life is too redundant. human empirical filtering combination cause loss time. In addition, explicit are homogeneous, which need be complemented by implicit features. fixed-parameter weights trained model cannot provide some estimates for unknown uncertainties. Therefore, this work, we propose a...
The current unreasonable deployment mechanism of shared bikes makes it difficult to meet public demand. Accurate prediction demand can alleviate this problem, but models are limited by small data size and poor robustness, making them unable provide sufficiently accurate be applied in real-life situations. In work, we propose a generative adversarial networks (GAN)-based ensemble model (GANEM) for predicting the 5G solve above problem. With support networks, real-time transmission storage...
Objective: Breast cancer is a malignant disease with high mortality rate. Using postoperative rehabilitation data of breast patients, this study explored the effects immune, tumor, microenvironmental, psychological, nutritional, aerobic exercise and advanced work indexes on patients. To determine weight impact different indications recovery. By combining adaptive grid optimization algorithm XGBoost (Extreme Gradient Boosting) algorithm, an intelligent prediction model for was constructed...