Real-time monitoring of construction sites: Sensors, methods, and applications
The construction industry is one of the world's largest industries, with an annual budget of
$10 trillion globally. Despite its size, the efficiency and growth in labour productivity in the …
$10 trillion globally. Despite its size, the efficiency and growth in labour productivity in the …
[HTML][HTML] A comprehensive review of indoor/outdoor localization solutions in IoT era: Research challenges and future perspectives
SM Asaad, HS Maghdid - Computer Networks, 2022 - Elsevier
The number of connected mobile devices and Internet of Things (IoT) is growing around us,
rapidly. Since most of people's daily activities are relying on these connected things or …
rapidly. Since most of people's daily activities are relying on these connected things or …
DNN-based indoor localization under limited dataset using GANs and semi-supervised learning
W Njima, A Bazzi, M Chafii - IEEE access, 2022 - ieeexplore.ieee.org
Indoor localization techniques based on supervised learning deliver great performance
accuracy while maintaining low online complexity. However, such systems require massive …
accuracy while maintaining low online complexity. However, such systems require massive …
An overview of machine learning techniques for radiowave propagation modeling
We give an overview of recent developments in the modeling of radiowave propagation,
based on machine learning (ML) algorithms. We identify the input and output specification …
based on machine learning (ML) algorithms. We identify the input and output specification …
Deep AI enabled ubiquitous wireless sensing: A survey
With the development of the Internet of Things (IoT), many kinds of wireless signals (eg, Wi-
Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication …
Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication …
Indoor localization using data augmentation via selective generative adversarial networks
Several location-based services require accurate location information in indoor
environments. Recently, it has been shown that deep neural network (DNN) based received …
environments. Recently, it has been shown that deep neural network (DNN) based received …
Fingerprint augment based on super-resolution for WiFi fingerprint based indoor localization
T Lan, X Wang, Z Chen, J Zhu… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
WiFi fingerprint based indoor localization has become a key research direction in the field of
indoor localization due to its high positioning accuracy and low equipment deployment cost …
indoor localization due to its high positioning accuracy and low equipment deployment cost …
Deep learning methods for fingerprint-based indoor positioning: A review
F Alhomayani, MH Mahoor - Journal of Location Based Services, 2020 - Taylor & Francis
Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …
shortcomings that have deemed their use for indoor positioning impractical. Location …
Food and liquid sensing in practical environments using {RFIDs}
We present the design and implementation of RF-EATS, a system that can sense food and
liquids in closed containers without opening them or requiring any contact with their …
liquids in closed containers without opening them or requiring any contact with their …
Intelligent intrusion detection for internet of things security: A deep convolutional generative adversarial network-enabled approach
With the rapid advance of Internet of Things (IoT), it is difficult for cloud-centric computing to
meet the requirements of low latency and ease of use. As an open and distributed system …
meet the requirements of low latency and ease of use. As an open and distributed system …