M Mamdouh, MAI Elrukhsi… - … Conference on Computer …, 2018 - ieeexplore.ieee.org
… WSNs. In this paper, we survey the different threats that can attack both IoT and WSNs and the machinelearning … different machinelearning algorithms used to secure WSNs and IoT. …
… integrated application of the InternetofThings-based WirelessSensorNetwork in the arena … Hybrid Optimization Technique and MachineLearning. The IoT-based WSN can play a great …
… Sensors are distributed in the environment and are usually communicated through a WirelessSensorNetwork (WSN). Due to this dispersion of the sensors, errors could occur in …
… In conclusion, there are clear benefits to using supervised learning techniques for WSN routing … Two major kinds of unsupervised learning techniques that are often used in WSN routing …
… Additionally, the use of WSN for different environmental … use of WSN and IoT in agriculture and give a comprehensive review of sensor and IoT data analytics using machinelearning (ML…
… WSN and IoT components. This research significantly advances the current state of the art in IoT and WSN security by synergistically harnessing the potential of machinelearning and …
… on the WSN associated with the IoT and presented a full-fledged framework for edge-based classification and alerting of the fall event. First, the machine-learning algorithms were …
… The survey of machinelearning algorithms for WSNs from the period 2014 to March 2018. … to integrating Internetofthings (IoT), cyber-physical systems (CPS) and machine to machine (…
… aim to resolve issues in the WSN and IoT's fields by building … a thorough overview of the WSN and IoT's technologies. We … ML techniques in the WSN and IoT. Eventually, we analyze …