A5063727368- Liver Disease Diagnosis and Treatment
- Diet, Metabolism, and Disease
- Traffic Prediction and Management Techniques
- Advanced Malware Detection Techniques
- Radiomics and Machine Learning in Medical Imaging
- Air Quality Monitoring and Forecasting
- Dementia and Cognitive Impairment Research
- Functional Brain Connectivity Studies
- Network Security and Intrusion Detection
- Liver Diseases and Immunity
- Internet Traffic Analysis and Secure E-voting
- Liver Disease and Transplantation
Xiangnan University
2024
Nanjing Medical University
2023-2024
PLA Electronic Engineering Institute
2010
Background The increasing prevalence of nonalcoholic fatty liver disease (NAFLD) in China presents a significant public health concern. Traditional ultrasound, commonly used for screening, often lacks the ability to accurately quantify steatosis, leading insufficient follow-up patients with moderate-to-severe steatosis. Transient elastography (TE) provides more quantitative diagnosis steatosis and fibrosis, closely aligning biopsy results. Moreover, machine learning (ML) technology holds...
Botnet poses a significant threat to the Internet today. Reactive techniques that try detect such an attack and throttle down malicious traffic prevail today but seem not be very effective. In this paper we present approach detection is based on methodology of swarm intelligence. Specifically, particle optimization, robust stochastic evolutionary algorithm movement intelligence swarms, applied track remote controls activities, namely C&C. There exist in literature few papers which PSO used...
<sec> <title>BACKGROUND</title> The increasing prevalence of nonalcoholic fatty liver disease (NAFLD) in China presents a significant public health concern. Traditional ultrasound, commonly used for screening, often lacks the ability to accurately quantify steatosis, leading insufficient follow-up patients with moderate-to-severe steatosis. Transient elastography (TE) provides more quantitative diagnosis steatosis and fibrosis, closely aligning biopsy results. Moreover, machine learning (ML)...