A5111038523- Sleep and related disorders
- Network Security and Intrusion Detection
- Urban Heat Island Mitigation
- Sleep and Wakefulness Research
- Thermal Radiation and Cooling Technologies
- Energy Efficient Wireless Sensor Networks
- COVID-19 and Mental Health
- Speech and Audio Processing
- Anomaly Detection Techniques and Applications
- Transition Metal Oxide Nanomaterials
- Software System Performance and Reliability
- Circadian rhythm and melatonin
- Speech Recognition and Synthesis
- Silicon Carbide Semiconductor Technologies
- Psychological Well-being and Life Satisfaction
- Indoor and Outdoor Localization Technologies
- Advancements in Semiconductor Devices and Circuit Design
- Semiconductor materials and devices
Nanjing Institute of Technology
2023-2024
Foshan Second People's Hospital
2024
Tianjin Chengjian University
2024
Lanzhou Jiaotong University
2024
Binzhou University
2023
Binzhou Medical University
2023
Harbin Institute of Technology
2020
Abstract With the increasing size of buildings, in order to achieve high-precision indoor positioning services, it is a challenging task build an offline fingerprint database with high quality, density and less manpower material consumption. Aiming solve problem low-quality WiFi inventory constructed by traditional methods, which affects accuracy incurs costs, this paper proposes method for construction based on Crow Search Algorithm Optimizes Density Clustering (CSA-DBSCAN) Regressor...
Abstract This paper proposes a fin electron-hole bilayer tunneling FET with heterogate and an InAlAs barrier layer (HBF-EHBTFET). The can suppress off-state leakage caused by point tunneling, while the prevents source–drain direct significantly reducing current ( I off ). P-type Gaussian doping not only solve problem of inability to generate hole during device fabrication, but also reduce turn-on voltage line-tunneling, ultimately increasing on-state average subthreshold swing SS avg By...
Log anomaly detection holds great significance in computer systems and network security. A large amount of log data is generated the background various information equipment, so automated methods are required to identify abnormal behavior that may indicate security threats or system malfunctions. The traditional usually rely on manual statistical discovery, match by regular expression which complex time-consuming. To prevent failures, minimize troubleshooting time, reduce service...
Abstract Objective Medical staff, especially nurses, suffered great anxiety and stress from the COVID-19 pandemic, which negatively affected their sleep quality. In this study, we aimed to analyze quality of nursing staff after terminating Zero-COVID-19 policy in China. Methods 506 participants were involved our study. The Pittsburgh Sleep Quality Index (PSQI) was used evaluate status participants. Binary regression performed impact factors related difficulty. Results majority (96.44%)...