Machine learning based indoor localization using Wi-Fi RSSI fingerprints: An overview
In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …
expected to increase, thereby making their location information more important. Based on …
Learning with Hilbert–Schmidt independence criterion: A review and new perspectives
T Wang, X Dai, Y Liu - Knowledge-based systems, 2021 - Elsevier
Abstract The Hilbert–Schmidt independence criterion (HSIC) was originally designed to
measure the statistical dependence of the distribution-based Hilbert space embedding in …
measure the statistical dependence of the distribution-based Hilbert space embedding in …
A survey of machine learning techniques for indoor localization and navigation systems
P Roy, C Chowdhury - Journal of Intelligent & Robotic Systems, 2021 - Springer
In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …
An online radio map update scheme for WiFi fingerprint-based localization
Fingerprint-based localization relies on an accurate and up-to-date radio map, which is
however cumbersome to obtain. In this paper, a novel scheme is proposed to online adapt …
however cumbersome to obtain. In this paper, a novel scheme is proposed to online adapt …
Optimizing AP and Beacon Placement in WiFi and BLE hybrid localization
Y Tian, B Huang, B Jia, L Zhao - Journal of Network and Computer …, 2020 - Elsevier
Nowadays, wireless communication techniques, such as WiFi, Bluetooth low energy (BLE),
etc., have been pervasive in our daily lives, and not only provide convenient data …
etc., have been pervasive in our daily lives, and not only provide convenient data …
A novel monogenic Sobel directional pattern (MSDP) and enhanced bat algorithm-based optimization (BAO) with Pearson mutation (PM) for facial emotion recognition
In this paper, a novel Monogenic Sobel Directional Pattern (MSDP) using fractional order
masks is proposed for extracting features. The MSDP uses fractional-order Sobel masks to …
masks is proposed for extracting features. The MSDP uses fractional-order Sobel masks to …
A boundary aware wifi localization scheme based on umap and knn
Z Xu, B Huang, B Jia, W Li, H Lu - IEEE Communications …, 2022 - ieeexplore.ieee.org
In this letter, a novel localization scheme is reported to improve WiFi fingerprint-based
localization via dimensionality reduction and an adaptive fingerprint matching algorithm …
localization via dimensionality reduction and an adaptive fingerprint matching algorithm …
Machine learning applied to wi-fi fingerprinting: The experiences of the ubiqum challenge
J Rojo, GM Mendoza-Silva, GR Cidral… - 2019 International …, 2019 - ieeexplore.ieee.org
Wi-Fi Fingerprinting is widely adopted for smartphone-based indoor positioning systems due
to the availability of already deployed infrastructure for communications. The UJIIndoorLoc …
to the availability of already deployed infrastructure for communications. The UJIIndoorLoc …
Approach for short-term wind power prediction via kernel principal component analysis and echo state network optimized by improved particle swarm optimization …
Z Tian - Transactions of the Institute of Measurement and …, 2021 - journals.sagepub.com
In recent years, short-term wind power forecasting has proved to be an effective technology,
which can promote the development of industrial informatization and play an important role …
which can promote the development of industrial informatization and play an important role …
Estimating distances via received signal strength and connectivity in wireless sensor networks
Q Miao, B Huang, B Jia - Wireless Networks, 2020 - Springer
Distance estimation is vital for localization and many other applications in wireless sensor
networks (WSNs). Particularly, it is desirable to implement distance estimation as well as …
networks (WSNs). Particularly, it is desirable to implement distance estimation as well as …