Health monitoring: a machine learning approach for anomaly detection in multi-sensor networks

Computer Science

• Detection 100%
• multi sensor 100%
• Anomaly Detection 100%
• Sensor Networks 100%
• Class 100%
• Machine Learning Approach 100%
• Diagnosis 60%
• Algorithms 60%
• Machine Learning Algorithm 20%
• Classifier 20%
• Spatial Resolution 20%
• Detect Anomaly 20%
• Presented Approach 20%
• Combined Classifier 20%
• Precision 20%
• Continuous Monitoring 20%

INIS

• machine learning 100%
• monitoring 100%
• detection 100%
• sensors 100%
• data 83%
• algorithms 66%
• datasets 33%
• performance 33%
• labelling 16%
• precision 16%
• air quality 16%
• values 16%
• curves 16%
• calibration 16%
• spatial resolution 16%
• labor 16%
• thermal comfort 16%
• reliability 16%
• comparative evaluations 16%
• trains 16%
• carbon dioxide 16%
• exceptions 16%
• indoors 16%

Keyphrases

• Sensor Anomaly 100%
• Multi-sensor Network 100%
• Unsupervised Algorithm 66%
• Automated Diagnosis 33%
• Precision-recall Curve 33%
• Supervised Algorithm 33%