A survey of outlier detection techniques in IoT: Review and classification
The Internet of Things (IoT) is a fact today where a high number of nodes are used for
various applications. From small home networks to large-scale networks, the aim is the …
various applications. From small home networks to large-scale networks, the aim is the …
A survey on fault diagnosis in wireless sensor networks
Wireless sensor networks (WSNs) often consist of hundreds of sensor nodes that may be
deployed in relatively harsh and complex environments. In views of hardware cost, sensor …
deployed in relatively harsh and complex environments. In views of hardware cost, sensor …
An analysis of fault detection strategies in wireless sensor networks
Wireless sensor networks have emerged as a key technology which is used in many safety
critical applications. The sensors in wireless sensor network have to be deployed in hostile …
critical applications. The sensors in wireless sensor network have to be deployed in hostile …
Intelligent fault-tolerance data routing scheme for IoT-enabled WSNs
Wireless sensor networks (WSNs) have become one of the essential components of the
Internet of Things (IoT). In any IoT application, different sensor-based devices gather data …
Internet of Things (IoT). In any IoT application, different sensor-based devices gather data …
Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks
This paper explores the use of 'conditional convolutional generative adversarial
networks'(CDCGAN) for image-based leak detection and localization (LD&L) in water …
networks'(CDCGAN) for image-based leak detection and localization (LD&L) in water …
Heterogeneous fault diagnosis for wireless sensor networks
Fault diagnosis has been considered as a very challenging problem in wireless sensor
network (WSN) research. Faulty nodes having different behavior such as hard, soft …
network (WSN) research. Faulty nodes having different behavior such as hard, soft …
Imputation of missing data from offshore wind farms using spatio-temporal correlation and feature correlation
C Sun, Y Chen, C Cheng - Energy, 2021 - Elsevier
Many industrial applications, such as fault diagnosis and remaining useful life prediction,
require high-dimensional inputs to predict a reliable output. For offshore wind farm …
require high-dimensional inputs to predict a reliable output. For offshore wind farm …
Large data set-driven machine learning models for accurate prediction of the thermoelectric figure of merit
The figure of merit (zT) is a key parameter to measure the performance of thermoelectric
materials. At present, the prediction of zT values via machine leaning has emerged as a …
materials. At present, the prediction of zT values via machine leaning has emerged as a …
Fault-tolerant event region detection on trajectory pattern extraction for industrial wireless sensor networks
Poisonous pollutants produced in chemical, plastics, or nuclear power industry are easy to
leak and result in a large-scale hazardous event region. Recently, industrial wireless sensor …
leak and result in a large-scale hazardous event region. Recently, industrial wireless sensor …
Automated fault diagnosis in wireless sensor networks: A comprehensive survey
This paper covers the basics of fault diagnosis in wireless sensor networks, as well as fault
diagnosis terminology, sensor fault classification, causes and effects, and fault diagnosis …
diagnosis terminology, sensor fault classification, causes and effects, and fault diagnosis …