… be universal algorithms (eg, Machine Learning algorithms such as k-NN or Support Vector …
as it is far from the Wi-Fi area. The CIPS applies EKF to integrate the ranging information from …

… approaches, such as fuzzy logic, neural networks, and support vector machines, [11] to …
utilization of machine learning to address the issues of impersonation attacks within the Wi-Fi-…

… Implicit methods use machine learning or deep learning to … document contains learning
techniques for modeling internet … In summary, the integration of internet behavior models into …

… Artificial Intelligence models, specifically, machine learning, … advances in its integration with
Artificial Intelligence of Things… The system determines the user’s indoor location using Wi-Fi …

… analysis; also, machine learning algorithms can be applied in order to provide a deep analysis
… For instance, data aggregation and integration technique are applied 75, 102 to remove …

… GeoAI aims to integrate artificial intelligence, in particular deep learning techniques, with
geospatial … Therefore, it is impossible to conduct a rigorous systematic review without excluding …

… technique resembles to high extend the way humans learn and navigate through their daily
life tasks. Reinforcement learning … Wi-Fi technology can also be integrated into the system as …

… requires an integration of outdoor and indoor positioning systems. … Wi-Fi and Bluetooth
signals are popular choices though. Increased adoption of different machine learning techniques …

… the machine and deep learning data fusion techniques used … systematic literature review
on recent data fusion techniques, … This evolution of articles is a natural result of integrating big …

… study [26], the energy consumption of lighting and appliances was applied in machine learning
techniques … based on single sensing sources, researchers proposed integrating multiple …