A review of indoor localization techniques and wireless technologies
This paper introduces a review article on indoor localization techniques and technologies.
The paper starts with current localization systems and summarizes comparisons between …
The paper starts with current localization systems and summarizes comparisons between …
Coverage, deployment and localization challenges in wireless sensor networks based on artificial intelligence techniques: a review
The growing importance and widespread adoption of Wireless Sensor Network (WSN)
technologies have helped the enhancement of smart environments in various fields such as …
technologies have helped the enhancement of smart environments in various fields such as …
A survey of machine learning for indoor positioning
Widespread proliferation of wireless coverage has enabled culmination of number of
advanced location-based services (LBS). Continuous tracking of accurate physical location …
advanced location-based services (LBS). Continuous tracking of accurate physical location …
A machine learning approach to predict the average localization error with applications to wireless sensor networks
Node localisation is one of the significant concerns in Wireless Sensor Networks (WSNs). It
is a process in which we estimate the coordinates of the unknown nodes using sensors with …
is a process in which we estimate the coordinates of the unknown nodes using sensors with …
Wireless transmissions, propagation and channel modelling for IoT technologies: Applications and challenges
The Internet of Things (IoT) has rapidly expanded for a wide range of applications towards a
smart future world by connecting everything. As a result, new challenges emerge in meeting …
smart future world by connecting everything. As a result, new challenges emerge in meeting …
A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques
SK Gharghan, HA Hashim - Measurement, 2024 - Elsevier
Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …
advancements in wireless and internet-of-things technologies have led to the development …
Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer's disease
I Abunadi - Connection Science, 2022 - Taylor & Francis
Alzheimer's, or so-called dementia, is one of the types of diseases that affects brain cells and
causes memory loss, difficulty in thinking, and forgetfulness. Thus far, there is no effective …
causes memory loss, difficulty in thinking, and forgetfulness. Thus far, there is no effective …
3D localization and error minimization in underwater sensor networks
Wireless sensor networks (WSNs) consist of nodes distributed in the region of interest (ROI)
that forward collected data to the sink. The node's location plays a vital role in data …
that forward collected data to the sink. The node's location plays a vital role in data …
Improving indoor localization using mobile UWB sensor and deep neural networks
Accurate localization in indoor environments with ultra-wideband (UWB) technology has
long attracted much attention. However, due to the presence of multipath components or non …
long attracted much attention. However, due to the presence of multipath components or non …
3-D indoor positioning based on passive radio frequency signal strength distribution
In recent years, indoor positioning systems (IPSs) have received attention from many
research fields, such as robotics, navigation, human–computer interaction, etc. However …
research fields, such as robotics, navigation, human–computer interaction, etc. However …