FedHIL: Heterogeneity resilient federated learning for robust indoor localization with mobile devices

D Gufran, S Pasricha - ACM Transactions on Embedded Computing …, 2023 - dl.acm.org
Indoor localization plays a vital role in applications such as emergency response,
warehouse management, and augmented reality experiences. By deploying machine …

Internet-based supply chain financing-oriented risk assessment using BP neural network and SVM

W Fu, H Zhang, F Huang - Plos one, 2022 - journals.plos.org
To better prevent the potential risks in Internet-based Supply Chain Financing (SCF)
products, this paper optimizes and evaluates the Internet-based SCF-oriented Credit Risk …

Improved extreme learning machine based UWB positioning for mobile robots with signal interference

J Ma, X Duan, C Shang, M Ma, D Zhang - Machines, 2022 - mdpi.com
For the purpose of tackling ultra-wideband (UWB) indoor positioning with signal
interference, a binary classifier for signal interference discrimination and positioning errors …

An enhanced smartphone indoor positioning scheme with outlier removal using machine learning

Z Zhang, J Liu, L Wang, G Guo, X Zheng, X Gong… - Remote Sensing, 2021 - mdpi.com
In smartphone indoor positioning, owing to the strong complementarity between pedestrian
dead reckoning (PDR) and WiFi, a hybrid fusion scheme of them is drawing more and more …

CTSLoc: An indoor localization method based on CNN by using time-series RSSI

J Liu, B Jia, L Guo, B Huang, L Wang, T Baker - Cluster Computing, 2022 - Springer
Due to the complexities of indoor WiFi signal propagations, it is challenging to improve the
performance of indoor fingerprint-based positioning techniques which is the main hot …

基于CHAN 的改进卡尔曼滤波室内定位算法

蒋锐, 虞跃, 徐友云, 王小明, 李大鹏 - 通信学报, 2023 - infocomm-journal.com
由于现在室内环境的复杂度越来越高, 室内非视距情况下定位误差的影响逐渐增大,
如何降低其影响显得尤其重要. 定位技术选用的是UWB 室内定位技术, 其中 …

Applications of Nondominated Sorting Genetic Algorithm II Combined with WKNN Online Matching Algorithm in Building Indoor Optimization Design

X Yu, S Wang, F Xiao - Computational Intelligence and …, 2022 - Wiley Online Library
The present work aims to improve the comfort of architectural interior design and reduce
indoor energy consumption. The Weight K‐Nearest Neighborhood (WKNN) algorithm and …

基于有效AP 选择和多分类LDA 的室内定位算法

刘桂岐, 钱志鸿, 李华亮, 孙佳妮, 冯一诺, 王雪 - 通信学报, 2021 - infocomm-journal.com
为了解决室内定位中纵向位置信息缺失的问题, 提出了基于有效AP 选择和多分类LDA
的室内定位算法. 离线阶段, 采用基于稳定性及差异性的AP 选择算法, 提取指纹区域的有效AP …

Improved Kalman filter indoor positioning algorithm based on CHAN.

J Rui, YU Yue, XU Youyun… - Journal on …, 2023 - search.ebscohost.com
Due to the raising complexity of the indoor environment, the influence of the non-line-of-sight
error is gradually increasing in indoor positioning. How to reduce the non-line-of-sight error …

Indoor Positioning System Based on Improved Kalman Filter

S Li, L Li, J Tu, R Jiang, Y Yu… - 2023 IEEE 3rd International …, 2023 - ieeexplore.ieee.org
With the increasingly complex indoor environment nowadays, people still have high
requirements for indoor positioning accuracy. Indoor positioning errors are mainly caused by …