A5021150267- Traditional Chinese Medicine Studies
- Water Quality Monitoring Technologies
- Maritime Navigation and Safety
- Remote Sensing and LiDAR Applications
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Smart Agriculture and AI
- Wireless Sensor Networks and IoT
- Acupuncture Treatment Research Studies
- Maritime Ports and Logistics
- Neural Networks and Applications
- Advanced Technologies in Various Fields
- Acute Ischemic Stroke Management
- Muscle activation and electromyography studies
- Internet of Things and AI
- Stroke Rehabilitation and Recovery
- Metabolomics and Mass Spectrometry Studies
- Advanced Neural Network Applications
- Indoor and Outdoor Localization Technologies
- Medical Imaging and Analysis
- Maritime Transport Emissions and Efficiency
- Image Enhancement Techniques
- Anomaly Detection Techniques and Applications
- Gear and Bearing Dynamics Analysis
- Structural Integrity and Reliability Analysis
Chongqing University
2020-2025
Chengdu University of Information Technology
2019-2020
To develop a machine learning-based model for predicting the clinical efficacy of acupuncture intervention in patients with upper limb dysfunction following ischemic stroke, and to assess its potential role guiding practice. Data from 1,375 stroke were collected two hospitals, including medical records Digital Subtraction Angiography (DSA) reports. All received standardized treatment. After screening, 616 datasets selected analysis. A prediction was developed using AutoGluon framework, three...
Abstract Background Insomnia as one of the dominant diseases traditional Chinese medicine (TCM) has been extensively studied in recent years. To explore novel approaches research on TCM diagnosis and treatment, this paper presents a strategy for insomnia based machine learning. Methods First all, 654 cases have collected from an experienced doctor sample data. Secondly, light characteristics contents samples divided into four parts: basic information, diagnostic methods, treatment syndrome...
This paper studies the application of machine learning in analysis and diagnosis electromyography data. Firstly, 2,352 examination reports have been recorded from Sichuan Provincial Hospital Traditional Chinese Medicine for ten months. The data cleaning has conducted based on specific-designed inclusion criteria. Next, two sets established, containing 575 facial motor nerve conduction study 233 auditory brainstem response reports, respectively. And then, four algorithms including random...
Aeroengine fault detection is extremely significant to ensure flight safety. However, it still poses a vast challenge due the complexity of aeroengine systems. In this paper, an unsupervised deep autoencoder (DAE) with dimension fusion function (DFF) method (DFF-DAE) was proposed effectively detect faults based on multivariate time-series data. The does not rely mathematical models and expert experience automatically extract hierarchical representation features raw DFF-DAE has three-layer...
Conventional visibility detection instrument has an expensive price and requires for the deployment field strictly. To achieve goal of low-cost detection, this article studies a approach which combines monitor camera device deep learning algorithm. Cameras mounted in external are used to capture images, input images convolutional neural network (CNN). The scattering is values, transferred training labels CNN. Both devices at same site outside meteorological observation station our school. In...
As an essential part of transportation systems, inland waterway is economical and sustainable. However, traffic congestion vessel collision often occur in controlled waterways, which has greatly restricted the development transportation. This paper designs a Cyber-Physical System based intelligent scheduling system (IVSS) for management details data acquisition, transmission, processing process. IVSS been applied upper reaches Yangtze River as Digital Waterway construction project. The...
Abstract Background : Insomnia as one of the dominant diseases traditional Chinese medicine (TCM) has been extensively studied in recent years. To explore novel approaches research on TCM diagnosis and treatment, this paper presents a strategy for insomnia based machine learning. Methods First all, 654 cases have collected from an experienced doctor sample data. Secondly, light characteristics contents samples divided into four parts: basic information, diagnostic methods, treatment syndrome...
The controlled waterway in the upper reaches of Yangtze River has become a bottleneck for shipping due to its curved, narrow and turbulent characteristics. vessels passing through it must obey signal revealed by Intelligent Vessel Traffic Signaling System (IVTSS) pass one direction. accuracy signals is directly related traffic safety efficiency. However, unreliability vessel sensing sensors these areas latency transmission computation large amounts data may negatively impact IVTSS. Hence,...
Abstract Background : Insomnia as one of the dominant diseases Traditional Chinese medicine (TCM) has been extensively studied in recent years. To explore novel approaches research on TCM diagnosis and treatment, this paper presents a strategy for insomnia based machine learning. Methods First all, 654 cases have collected from an experienced doctor sample data. Secondly, light characteristics contents samples divided into four parts: basic information, diagnostic methods, treatment syndrome...
Abstract Background : Insomnia as one of the dominant diseases traditional Chinese medicine (TCM) has been extensively studied in recent years. To explore novel approaches research on TCM diagnosis and treatment, this paper presents a strategy for insomnia based machine learning. Methods First all, 654 cases have collected from an experienced doctor sample data. Secondly, light characteristics contents samples divided into four parts: basic information, diagnostic methods, treatment syndrome...
Abstract Background : Insomnia as one of the dominant diseases traditional Chinese medicine (TCM) has been extensively studied in recent years. To explore novel approaches research on TCM diagnosis and treatment, this paper presents a strategy for insomnia based machine learning. Methods First all, 654 cases have collected from an experienced doctor sample data. Secondly, light characteristics contents samples divided into four parts: basic information, diagnostic methods, treatment syndrome...