[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 …

A comprehensive survey of machine learning based localization with wireless signals

D Burghal, AT Ravi, V Rao, AA Alghafis… - arXiv preprint arXiv …, 2020 - arxiv.org
The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

Wi-learner: Towards one-shot learning for cross-domain wi-fi based gesture recognition

C Feng, N Wang, Y Jiang, X Zheng, K Li… - Proceedings of the …, 2022 - dl.acm.org
Contactless RF-based sensing techniques are emerging as a viable means for building
gesture recognition systems. While promising, existing RF-based gesture solutions have …

Fl-amm: Federated learning augmented map matching with heterogeneous cellular moving trajectories

H Lu, F Lyu, H Wu, J Zhang, J Ren… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Map matching is a fundamental component for location-based services (LBSs), such as
vehicle mobility analysis, navigation services, traffic scheduling, etc. In this paper, we …

CrossCount: A deep learning system for device-free human counting using WiFi

OT Ibrahim, W Gomaa, M Youssef - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Counting humans is an essential part of many people-centric applications. In this paper, we
propose CrossCount: an accurate deep-learning-based human count estimator that uses a …

Device-independent cellular-based indoor location tracking using deep learning

H Rizk, M Abbas, M Youssef - Pervasive and Mobile Computing, 2021 - Elsevier
The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Cellular-based systems are a good candidate to provide such ubiquitous service …

Indoor fingerprinting with bimodal CSI tensors: A deep residual sharing learning approach

X Wang, X Wang, S Mao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Wi-Fi-based indoor fingerprinting is attracting increasing interest in the research community
due to the ubiquitous access in indoor environments. In this article, we propose ResLoc, a …

DMM: Fast map matching for cellular data

Z Shen, W Du, X Zhao, J Zou - Proceedings of the 26th annual …, 2020 - dl.acm.org
Map matching for cellular data is to transform a sequence of cell tower locations to a
trajectory on a road map. It is an essential processing step for many applications, such as …

Monodcell: A ubiquitous and low-overhead deep learning-based indoor localization with limited cellular information

H Rizk, M Youssef - Proceedings of the 27th ACM SIGSPATIAL …, 2019 - dl.acm.org
The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Despite the pervasive nature of cellular-based solutions, their localization quality …

[HTML][HTML] A novel framework for brain tumor detection based on convolutional variational generative models

WM Salama, A Shokry - Multimedia Tools and Applications, 2022 - Springer
Brain tumor detection can make the difference between life and death. Recently, deep
learning-based brain tumor detection techniques have gained attention due to their higher …