An IoT-Based Anomaly Detection and Identification Approach for Gas Sensor Networks
Author:
Affiliation:
1. Infineon Technologies AG,Neubiberg,Germany
2. Technical University of Munich,Chair for Design Automation,Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10180122/10180015/10180141.pdf?arnumber=10180141
Reference20 articles.
1. Wireless Sensor Network Modeling Using Modified Recurrent Neural Networks: Application to Fault Detection
2. Spatial-Temporal Correlative Fault Detection in Wireless Sensor Networks
3. Effect of long term ageing under humid environment on the LPG sensing properties and the surface composition of Mg-doped SnO 2 thin films
4. Distributed Fault Detection in Sensor Networks using a Recurrent Neural Network
5. Towards a Stochastic Drift Simulation Model for Graphene-Based Gas Sensors
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