Zaijian Wang
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View article: Should the Workload of Combining Clinical Practice With Data Collection be Considered: A Survey of Physicians With Data Collection Experience
Should the Workload of Combining Clinical Practice With Data Collection be Considered: A Survey of Physicians With Data Collection Experience Open
Aim To survey the physician's attention to the workload of combining clinical practice with Traditional Chinese Medicine (TCM) data collection. Background With the development of artificial intelligence technology in the medical field, the…
Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot Open
Objective: Tongue image segmentation is a crucial step in the intelligent recognition of tongue diagnosis in Traditional Chinese Medicine (TCM). Existing deep learning-based tongue image segmentation models face issues such as poor versati…
One-dimensional CNN Model of Network Traffic Classification based on Transfer Learning Open
There are some problems in network traffic classification (NTC), such as complicated statistical features and insufficient training samples, which may cause poor classification effect.A NTC architecture based on one-dimensional Convolution…
RTC_TongueNet: An improved tongue image segmentation model based on DeepLabV3 Open
Objective Tongue segmentation as a basis for automated tongue recognition studies in Chinese medicine, which has defects such as network degradation and inability to obtain global features, which seriously affects the segmentation effect. …
Fast online classification of network traffic using new feature-embedded hierarchical structure Open
The fast online classification (FOC) of network traffic plays a critical role in the network resource management and quality of service support. However, traditional network flow features result in poor performance in FOC (with fewer packe…
An Effective Real-time Traffic Classification Method Using Convolutional Neural Network Open
Network traffic classification has been as a research hots pot in network studies. However, previous research has predominantly focused on coarse-grained classification, neglecting fine-grained classification among network flows. As the in…
Deep learning approach to multimedia traffic classification based on QoS characteristics Open
With the fast increase of multimedia traffic in Internet of Things (IoT) applications, IoT traffic now requires very different Quality of Service (QoS). By extensive statistical analysis of traffic flow data from a real world network, the …
Dynamic threshold location algorithm based on fingerprinting method Open
The weighted K‐nearest neighbor (WKNN) algorithm is used to reduce positioning accuracy, as it uses a fixed number of neighbors to estimate the position. In this paper, we propose a dynamic threshold location algorithm (DH‐KNN) to improve …