… of machine learning for accurate indoor positioning. INDEX TERMS Indoor positioning …
We found machinelearning approaches have great potential to overcome these challenges …

… In this paper, we have shown an analysis of the use of machine learning for indoor positioning
in Wi-Fi based systems. The starting point has been a systematic review, following the …

… In this paper, we focus on analyzing, evaluating, and summarizing machine learning (ML) …
groups: supervised learning, unsupervised learning, reinforcement, and deep learning. To the …

… alternatives for indoor positioning. Nevertheless, the most popular indoor positioning mecha…
of the use of machine learning algorithms for indoor positioning based on WiFi signals in …

… learning algorithm. In this paper, selected machine learning algorithms are compared in
terms of positioning accuracy and computation time. In the experiments, UJIIndoorLoc …

… ’s position in an indoor scenario. We studied fingerprint positioning for indoor environments.
… maximum likelihood approaches used for fingerprint positioning. We used a probabilistic …

… with real 5G downlink reference signal for indoor positioning. The field tests verified the …
5G signals is promising for indoor navigaiton. In this paper, machine learning (ML) algorithms …

… In this paper, a novel system for indoor positioning based on RFID standard polling
features, which exploits on-board feature selection and direct multi-output regression inference …

… -the-art machine learning approach for fingerprinting. This paper proposes a BLE based
machine learning location and tracking system for indoor positioning. The experimental results …

… -based wireless technologies, machine learning (ML) algorithms and ranging techniques
that are used for UAV indoor positioning systems. UAV indoor localization typically relies on …