… In this paper, we outlined various machine learning algorithms in WSN-IoT for smart city
applications. In this paper, we performed a detailed survey of ML techniques in …

… WSNs. In this paper, we survey the different threats that can attack both IoT and WSNs and
the machine learning … different machine learning algorithms used to secure WSNs and IoT. …

… integrated application of the Internet of Things-based Wireless Sensor Network in the arena
… Hybrid Optimization Technique and Machine Learning. The IoT-based WSN can play a great …

… Sensors are distributed in the environment and are usually communicated through a
Wireless Sensor Network (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 machine learning (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 machine learning 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 machine learning algorithms for WSNs from the period 2014 to March 2018. …
to integrating Internet of things (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 …