Sep 20, 2019 · This paper proposes an algorithm to generate the fingerprint database through regional environmental parameters automatically. According to the ...
This paper proposes an algorithm to generate the fingerprint database through regional environmental parameters automatically. According to the complexity of ...
This paper proposes an algorithm to generate the fingerprint database through regional environmental parameters automatically. According to the complexity of ...
This paper proposes an algorithm to generate the fingerprint database through regional environmental parameters automatically. According to the complexity of ...
In this paper, we present a novel method for constructing Wi-Fi fingerprint databases based on environmental feature awareness.
Therefore, the positioning fingerprint database can be automatically constructed by environmental parameters and the distances.
The K-nearest neighbors (KNN) algorithm is one of the most employed ML algorithms for indoor localization due to its simplicity and efficiency [11], [12].
In this paper, we propose a Region Clustering based Fingerprint Model that combines a Region Clustering algorithm and a Region Fingerprint network that enables ...
Missing: Parameters. | Show results with:Parameters.
In this paper, we first identify the challenges in using and constructing Wi-Fi fingerprint databases for large-scale multi-building and multi-floor indoor ...
This paper proposes a WiFi fingerprint-based localization algorithm using Long Short-Term Memory Network (LSTM) with explainable feature and a sparse sample ...
Missing: Parameters. | Show results with:Parameters.