Neural networks in wireless networks: Techniques, applications and guidelines
The design of modern wireless networks, which involves decision making and parameter
optimization, is quite challenging due to the highly dynamic, and often unknown …
optimization, is quite challenging due to the highly dynamic, and often unknown …
Probabilistic recovery of incomplete sensed data in IoT
Reliable data delivery in the Internet of Things (IoT) is very important in order to provide IoT-
based services with the required quality. However, IoT data delivery may not be successful …
based services with the required quality. However, IoT data delivery may not be successful …
Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks.
Wireless Sensor Networks (WSNs) have become a key technology for the IoT and despite
obvious benefits, challenges still exist regarding security. As more devices are connected to …
obvious benefits, challenges still exist regarding security. As more devices are connected to …
Intruder detection using a wireless sensor network with an intelligent mobile robot response
In this paper, we present an intruder detection system that uses a wireless sensor network
and mobile robots. The sensor network uses an unsupervised fuzzy Adaptive Resonance …
and mobile robots. The sensor network uses an unsupervised fuzzy Adaptive Resonance …
A spatial-temporal imputation technique for classification with missing data in a wireless sensor network
We have developed a novel method to estimate missing observations in wireless sensor
networks. We use a hierarchical unsupervised fuzzy ART neural network to represent the …
networks. We use a hierarchical unsupervised fuzzy ART neural network to represent the …
A lightweight collaborative fault tolerant target localization system for wireless sensor networks
Efficient target localization in wireless sensor networks is a complex and challenging task.
Many past assumptions for target localization are not valid for wireless sensor networks …
Many past assumptions for target localization are not valid for wireless sensor networks …
[PDF][PDF] Machine learning basics
The goal of machine learning is to design and develop algorithms that allow systems to use
empirical data, experience, and training to evolve and adapt to changes that occur in their …
empirical data, experience, and training to evolve and adapt to changes that occur in their …
Classification with missing data in a wireless sensor network
We have developed a novel method to estimate missing observations in wireless sensor
networks. We use a hierarchical unsupervised fuzzy ART neural network to represent the …
networks. We use a hierarchical unsupervised fuzzy ART neural network to represent the …
Detecting and monitoring time-related abnormal events using a wireless sensor network and mobile robot
In this paper, we present an anomaly detection system that is able to detect time-related
anomalies by using a wireless sensor network and a mobile robot. The sensor network uses …
anomalies by using a wireless sensor network and a mobile robot. The sensor network uses …
[PDF][PDF] Artificial Neural Network Based Detection of Energy Exhaustion Attacks in Wireless Sensor Networks Capable of Energy Harvesting.
Energy consumption is the important factor when designing any mechanism for wireless
sensor network (WSN). Research community is trying to enable energy harvesting …
sensor network (WSN). Research community is trying to enable energy harvesting …