Classification of indoor environments for IoT applications: A machine learning approach
Evolving Internet-of-Things (IoT) applications often require the use of sensor-based indoor
tracking and positioning, for which the performance is significantly improved by classifying …
tracking and positioning, for which the performance is significantly improved by classifying …
Indoor localization for IoT using adaptive feature selection: A cascaded machine learning approach
Evolving Internet-of-things applications often require the use of sensor-based indoor
tracking and positioning, for which the performance is significantly improved by identifying …
tracking and positioning, for which the performance is significantly improved by identifying …
A novel real-time deep learning approach for indoor localization based on RF environment identification
Internet-of-Things (IoT) applications often require the use of sensor-based indoor tracking
and positioning, for which the performance is significantly enhanced by identifying the type …
and positioning, for which the performance is significantly enhanced by identifying the type …
Integrating Cost-231 Multiwall Propagation and Adaptive Data Rate Method for Access Point Placement Recommendation
A new approach has been developed to provide an overview about signal behavior in
indoor environments using Cost-231 Multiwall Model (Cost-231 MWM) and Adaptive Data …
indoor environments using Cost-231 Multiwall Model (Cost-231 MWM) and Adaptive Data …
Indoor localization under limited measurements: A cross-environment joint semi-supervised and transfer learning approach
The development of highly accurate deep learning methods for indoor localization is often
hindered by the unavailability of sufficient data measurements in the desired environment to …
hindered by the unavailability of sufficient data measurements in the desired environment to …
A machine learning approach for the classification of indoor environments using RF signatures
Efficient deployment of Internet of Things (IoT) sensors primarily depends on allowing the
adjustment of sensor power consumption according to the radio frequency (RF) propagation …
adjustment of sensor power consumption according to the radio frequency (RF) propagation …
Capacity Maximization of the 6G Networks Deploying IRS
The objective of the work is to improve the capacity of the micro cell, ie, enabling the micro
cell base station of a two-tier network to serve an increased number of devices. Therefore …
cell base station of a two-tier network to serve an increased number of devices. Therefore …
Channel prediction with liquid time-constant networks: an online and adaptive approach
Accurate channel state information (CSI) prediction and estimation are critical to the
communication system to adapt to the rapid change of wireless channels. The CSI feedback …
communication system to adapt to the rapid change of wireless channels. The CSI feedback …
Downlink Received Power Performance Analysis of IRS for 6G Networks
The Internet of Things (IoT) is going to be a few of the most influential and critical role
spectators in the post-5G and 6G wireless networking paradigm because IoT is being …
spectators in the post-5G and 6G wireless networking paradigm because IoT is being …
Intelligent Reflecting Surfaces for the Enhancement of 6G Internet of Things
With the advancement of sensing technologies over the years, it has become critical to
ensure the seamless connectivity of the Internet of Things (IoT) gadgets. With the …
ensure the seamless connectivity of the Internet of Things (IoT) gadgets. With the …