A systematic literature review on outlier detection in wireless sensor networks
A wireless sensor network (WSN) is defined as a set of spatially distributed and
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
Advancements of data anomaly detection research in wireless sensor networks: a survey and open issues
Wireless Sensor Networks (WSNs) are important and necessary platforms for the future as
the concept “Internet of Things” has emerged lately. They are used for monitoring, tracking …
the concept “Internet of Things” has emerged lately. They are used for monitoring, tracking …
Outlier detection approaches for wireless sensor networks: A survey
Over the past few years, wireless sensor networks have gained significant attention. They
have been distributed in the real world in order to collect valuable raw sensed data. Due to …
have been distributed in the real world in order to collect valuable raw sensed data. Due to …
[HTML][HTML] The value of human data annotation for machine learning based anomaly detection in environmental systems
Anomaly detection is the process of identifying unexpected data samples in datasets.
Automated anomaly detection is either performed using supervised machine learning …
Automated anomaly detection is either performed using supervised machine learning …
Characteristics and classification of outlier detection techniques for wireless sensor networks in harsh environments: a survey
Wireless sensor networks (WSNs) have received considerable attention for multiple types of
applications. In particular, outlier detection in WSNs has been an area of vast interest …
applications. In particular, outlier detection in WSNs has been an area of vast interest …
An intelligent self-organization scheme for the internet of things
Y Ding, Y **, L Ren, K Hao - IEEE Computational Intelligence …, 2013 - ieeexplore.ieee.org
The Internet of Things (IoT) is emerging as the major trend in sha** the development of
the next generation of information networks. The challenges of the enormous, dynamic …
the next generation of information networks. The challenges of the enormous, dynamic …
A novel insider attack and machine learning based detection for the internet of things
Due to the widespread functional benefits, such as supporting internet connectivity, having
high visibility and enabling easy connectivity between sensors, the Internet of Things (IoT) …
high visibility and enabling easy connectivity between sensors, the Internet of Things (IoT) …
One-class support vector machines: analysis of outlier detection for wireless sensor networks in harsh environments
Abstract Machine learning, like its various applications, has received a great interest in
outlier detection in Wireless Sensor Networks. Support Vector Machines (SVM) are a special …
outlier detection in Wireless Sensor Networks. Support Vector Machines (SVM) are a special …
Mining mobile intelligence for wireless systems: a deep neural network approach
H Hu, Z Liu, J An - IEEE Computational Intelligence Magazine, 2020 - ieeexplore.ieee.org
Wireless big data contain valuable information on users' behaviors and preferences, which
can drive the design and optimization for wireless systems. The fundamental issue is how to …
can drive the design and optimization for wireless systems. The fundamental issue is how to …
Visual approaches for exploratory data analysis: A survey of the visual assessment of clustering tendency (vat) family of algorithms
Exploratory data analysis (EDA) using data clustering is extremely important for
understanding the basic characteristics of a novel data set before develo** complex …
understanding the basic characteristics of a novel data set before develo** complex …