A5101797236- Brain Tumor Detection and Classification
- Advanced Neuroimaging Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Atmospheric chemistry and aerosols
- Biometric Identification and Security
- Railway Engineering and Dynamics
- Simulation and Modeling Applications
- Topic Modeling
- Atmospheric aerosols and clouds
- Blind Source Separation Techniques
- Advanced Text Analysis Techniques
- Pulsars and Gravitational Waves Research
- Air Quality and Health Impacts
- Superconducting and THz Device Technology
- Neural Networks and Applications
- Network Security and Intrusion Detection
- Biomedical Text Mining and Ontologies
- Neural dynamics and brain function
- Gamma-ray bursts and supernovae
- Advanced Frequency and Time Standards
- Anomaly Detection Techniques and Applications
- Pharmacovigilance and Adverse Drug Reactions
- Railway Systems and Energy Efficiency
- Software System Performance and Reliability
- Advanced Algorithms and Applications
Xi’an University of Posts and Telecommunications
2022
Chinese Academy of Sciences
2022
Institute of High Energy Physics
2022
Harvard University
2019
Tongji University
2016-2017
Yantai Institute of Coastal Zone Research
2016
China Meteorological Administration
2016
Peking University
2013
University of Washington
2010
Xi'an Peihua University
2008
Turnout is one key fundamental infrastructure in the railway signal system, which has great influence on safety of systems. Currently, turnout fault diagnoses are conducted manually China; engineers obliged to observe signals and make problem solving decisions. Thus, accuracies totally depend engineers’ experience although massive data produced real time by microcomputer-based monitoring This paper aims develop an intelligent diagnosis method for through Dynamic Time Warping (DTW). We...
Claim verification in real-world settings (e.g. against a large collection of candidate evidences retrieved from the web) typically requires identifying and aggregating complete set evidence pieces that collectively provide full support to claim. The problem becomes particularly challenging when there exists distinct sets could be used verify claim different perspectives. In this paper, we formally define study such minimal groups (MEGs) for verification. We show MEG identification can...
Abstract: Container has become an important part of cloud-native architecture. More and more enterprises are deploying their core business on containers. The running status containers is very for the stability business. This paper proposes a container anomaly detection system based improved isolation forest algorithm eBPF. data directly extracted from kernel through eBPF, fluctuating with time corrected by method polynomial regression, then iTrees constructed algorithm, abnormal score...