A wifi indoor localization method based on dilated cnn and support vector regression
H Chen, B Wang, Y Pei, L Zhang - 2020 Chinese Automation …, 2020 - ieeexplore.ieee.org
A novel method is proposed to improve positioning real-time property while ensuring the
accuracy. Firstly, a dilated convolutional neural network (D-CNN) model is trained with …
accuracy. Firstly, a dilated convolutional neural network (D-CNN) model is trained with …
A novel device-free Wi-Fi indoor localization using a convolutional neural network based on residual attention
M Maashi, A Al Mazroa, SD Alotaibi, A Alshuhail… - PeerJ Computer …, 2024 - peerj.com
These days, location-based services, or LBS, are used for various consumer applications,
including indoor localization. Due to the ease with which Wi-Fi can be accessed in various …
including indoor localization. Due to the ease with which Wi-Fi can be accessed in various …
A channel adaptive WiFi indoor localization method based on deep learning
L Hao, B Huang, H Hong, B Jia… - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
With the increasing demand on Indoor Location-Based Services (ILBS), various positioning
technologies had emerged in the past decades, and WiFi-based approach is one of the most …
technologies had emerged in the past decades, and WiFi-based approach is one of the most …
Machine learning-based WiFi indoor localization with FasterKAN: optimizing communication and signal accuracy
Abstract WiFi Received Signal Strength Indicator (RSSI) fingerprint has emerged as a
powerful indoor localization technique, surpassing other methods such as GPS-based and …
powerful indoor localization technique, surpassing other methods such as GPS-based and …
WiDeep: WiFi-based accurate and robust indoor localization system using deep learning
Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Due to the ubiquitous availability of WiFi indoors, many indoor localization …
the past decade. Due to the ubiquitous availability of WiFi indoors, many indoor localization …
Deep neural network based on feature fusion for indoor wireless localization
S Chen, Q Zhu, Z Li, Y Long - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
This paper proposes a novel WiFi-based indoor localization algorithm based on feature
fusion based deep neural network, which is called FF-DNN. The FF-DNN model architecture …
fusion based deep neural network, which is called FF-DNN. The FF-DNN model architecture …
WiFi-based indoor localization using clustering and fusion fingerprint
M Luo, J Zheng, W Sun, X Zhang - 2021 40th Chinese Control …, 2021 - ieeexplore.ieee.org
Due to the free deployment of the additional network infrastructure, WiFi-based indoor
localization has drawn researchers' attention in recent years. However, the accuracy and …
localization has drawn researchers' attention in recent years. However, the accuracy and …
Cnnloc: Deep-learning based indoor localization with wifi fingerprinting
With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …
devices, indoor localization is empowering numerous location-based services. With the …
A novel convolutional neural network based indoor localization framework with WiFi fingerprinting
With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …
devices, indoor localization is empowering numerous location-based services. With the …
Robust sub-meter level indoor localization-a logistic regression approach
Indoor localization becomes a raising demand in our daily lives. Due to the massive
deployment in the indoor environment nowadays, WiFi systems have been applied to high …
deployment in the indoor environment nowadays, WiFi systems have been applied to high …