A5064854019- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- Advanced Malware Detection Techniques
- Network Security and Intrusion Detection
- Environmental Impact and Sustainability
- Vehicle emissions and performance
- Human Mobility and Location-Based Analysis
- Anomaly Detection Techniques and Applications
- Air Quality and Health Impacts
- COVID-19 Pandemic Impacts
China University of Geosciences (Beijing)
2021-2022
Xi'an Jiaotong University
2009
Abstract Corona Virus Disease 2019 (COVID-19) has spread rapidly to countries all around the world from end of 2019, which caused a great impact on global health and had huge many countries. Since there is still no effective treatment, it essential making predictions for relevant departments make responses arrangements in advance. Under limited data, prediction error LSTM model will increase over time, its prone big bias medium- long-term prediction. To overcome this problem, our study...
41 higher-level derived features were presented by Stolfo et al that help in distinguishing normal connections from attacks. Numerous researchers employed these to study the utilization of machine learning for intrusion detection and reported rates up 91% with false positive less than 1%. Unfortunately, as inputs, IDS systems take long time converge when training work slowly during on-line detections. We reduced number inputs while keeping high rates. After simulation, analysis experiment,...