… body between two APs uses Wi-Fi signal waveforms to extract CSI. Machine learning (ML)
uses … It integrates independent coherent transceivers that allow implementation of n × n MIMO …

… With Machine Learning and Deep Learning techniques, computers … Wi-Fi — Wi-Fi is the
most popular networking protocol that … system integrated two wireless technologies, Wi-Fi and …

… a comprehensive survey of ML enabled localization techniques … Wi-Fi: Wi-Fi is most widely
used for IPS because of the … Indoor positioning systems are an integral component of location…

… This paper aims to study the important mechanisms in this area systematically. This paper
studies articles published between 2016 and August 2022. Initially, 751 articles were identified…

… Various feature engineering and machine learning algorithms … as 1) learning objects, which
focuses on integrating robotic-… topic modeling for smart campus: A deep topical correlation …

… integration of machine learning (ML) algorithms into H-IoT is imperative. This paper aims to
serve both as a compilation as well as a review of … Linear regression is a modeling technique …

… Location fingerprinting, which utilizes machine learning, has emerged as a viable method …
that are integrated into smartphones and exploits existing infrastructure, such as Wi-Fi APs, to …

… survey on activity recognition leveraging fusion techniques. [36] and [37] presented a survey
on biometric systems where fusion techniques … A deep learning model integrating fcnns and …

… In most articles, the terms IoMT and HIoT have been applied as alternatives for the integration
of … mechanisms such as machine learning methods by means of data analysis tools. This …

… collected by sensors integrated in a smartphone, which is at … in recent years in ML and an
exhaustive literature survey is … used a CNN model to perform recognition of LTE and Wi-Fi …