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CSI-based multi-antenna and multi-point indoor positioning using probability fusion
Channel state information (CSI)-based fingerprinting via neural networks (NNs) is a
promising approach to enable accurate indoor and outdoor positioning of user equipment …
promising approach to enable accurate indoor and outdoor positioning of user equipment …
Deep learning and transfer learning for skin cancer segmentation and classification
L Li, W Seo - 2021 IEEE 21st International Conference on …, 2021 - ieeexplore.ieee.org
According to Skin Cancer Foundation, skin cancer is by far the most common type of cancer
in the United States and worldwide. Early diagnosis of skin cancer is critical because proper …
in the United States and worldwide. Early diagnosis of skin cancer is critical because proper …
Open RAN meets semantic communications: A synergistic match for open, intelligent, and knowledge-driven 6G
Improving sustainability, enhancing spectral and energy efficiency, and bringing in-network
intelligence and reasoning are the driving forces for 6G. In this context, semantic …
intelligence and reasoning are the driving forces for 6G. In this context, semantic …
Ensemble activation enabled deep classifier for Alzheimer's disease detection in the blockchain-enabled distributed edge environment
Alzheimer's disease (AD) is the most well-known cause of dementia that affects memory.
Alzheimer's patients have a neurodegenerative disorder that results in the loss of many …
Alzheimer's patients have a neurodegenerative disorder that results in the loss of many …
BmmW: A DNN-based joint BLE and mmWave radar system for accurate 3D localization with goal-oriented communication
Abstract Bluetooth Low Energy (BLE) has emerged as one of the reference technologies for
the development of indoor localization systems, due to its increasing ubiquity, low-cost …
the development of indoor localization systems, due to its increasing ubiquity, low-cost …
A survey of machine learning in pedestrian localization systems: Applications, open issues and challenges
With the popularization of machine learning (ML) techniques and the increased chipset's
performance, the application of ML to pedestrian localization systems has received …
performance, the application of ML to pedestrian localization systems has received …
HyperTracking: Exploring the hyperbolic model for non-line-of-sight device-free Wi-Fi tracking
Wireless sensing technology allows for non-intrusive sensing without the need for physical
sensors worn by the target, enabling a wide range of applications, such as indoor tracking …
sensors worn by the target, enabling a wide range of applications, such as indoor tracking …
Self-supervised wifi-based activity recognition
MJ Bocus, HS Lau, R McConville… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Traditional approaches to activity recognition involve the use of wearable sensors or
cameras in order to recognise human activities. In this work, we extract fine-grained physical …
cameras in order to recognise human activities. In this work, we extract fine-grained physical …
Tiny but mighty: embedded machine learning for indoor wireless localization
There is an increasing demand for accurate indoor localisation that require minimal
infrastructure and wide coverage. All radio technologies commonly used for localisation …
infrastructure and wide coverage. All radio technologies commonly used for localisation …
BmmW: A DNN-based Joint BLE and mmWave Radar System for Accurate 3D Localization
Bluetooth Low Energy (BLE) has emerged as one of the reference technologies for the
development of indoor localization systems, due to its increasing ubiquity, low-cost …
development of indoor localization systems, due to its increasing ubiquity, low-cost …