A novel methodology for human kinematics motion detection based on smartphones sensor data using artificial intelligence
Kinematic motion detection aims to determine a person's actions based on activity data.
Human kinematic motion detection has many valuable applications in health care, such as …
Human kinematic motion detection has many valuable applications in health care, such as …
Classical versus reinforcement learning algorithms for unmanned aerial vehicle network communication and coverage path planning: A systematic literature review
A Mannan, MS Obaidat, K Mahmood… - International Journal …, 2023 - Wiley Online Library
The unmanned aerial vehicle network communication includes all points of interest during
the coverage path planning. Coverage path planning in such networks is crucial for many …
the coverage path planning. Coverage path planning in such networks is crucial for many …
Accurate indoor positioning for UWB-based personal devices using deep learning
Recently, there has been a rapidly emerging demand for localization technologies to
provide various location-based services in indoor environments, such as smart buildings …
provide various location-based services in indoor environments, such as smart buildings …
Loosely coupled odometry, uwb ranging, and cooperative spatial detection for relative monte-carlo multi-robot localization
As mobile robots become more ubiquitous, their deployments grow across use cases where
GNSS positioning is either unavailable or unreliable. This has led to increased interest in …
GNSS positioning is either unavailable or unreliable. This has led to increased interest in …
A self-calibrating localization solution for sport applications with UWB technology
This study addressed the problem of localization in an ultrawide-band (UWB) network,
where the positions of both the access points and the tags needed to be estimated. We …
where the positions of both the access points and the tags needed to be estimated. We …
Hybrid quantum convolutional neural networks for UWB signal classification
With the increasing requirements for location-based services for Internet of things (IoT)
applications, ultrawideband (UWB) technology provides accurate indoor positioning …
applications, ultrawideband (UWB) technology provides accurate indoor positioning …
Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning
Recently, deep learning approaches have provided solutions to difficult problems in wireless
positioning (WP). Although these WP algorithms have attained excellent and consistent …
positioning (WP). Although these WP algorithms have attained excellent and consistent …
Bayesian Meta-Learning: Towards Fast Adaptation in Neural Network Positioning Techniques
Neural network positioning technology, as one of the mainstream in indoor Wi-Fi positioning
systems, is playing an increasingly important role in location-based services. The main …
systems, is playing an increasingly important role in location-based services. The main …
Ultra-Wideband Ranging Error Mitigation with Novel Channel Impulse Response Feature Parameters and Two-Step Non-Line-of-Sight Identification
The effective identification and mitigation of non-line-of-sight (NLOS) ranging errors are
essential for achieving high-precision positioning and navigation with ultra-wideband (UWB) …
essential for achieving high-precision positioning and navigation with ultra-wideband (UWB) …