Addressing out‐of‐hospital cardiac arrest with current technology advances: Breaking the deadlock with a mobile network

M Hayashi, Y Iwasaki - Journal of Arrhythmia, 2024 - Wiley Online Library
Out‐of‐hospital cardiac arrest (OHCA) is a global public health problem, with survival rates
remaining low at around 10% or less despite widespread cardiopulmonary resuscitation …

SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks

D Gufran, P Anandathirtha… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the increasing demand for edge device-powered location-based services in indoor
environments, Wi-Fi received signal strength (RSS) fingerprinting has become popular …

Indoor localization by projecting magnetic field signals onto images with vision transformer

H Rafique, D Patti, M Palesi, GC La Delfa - Computers and Electrical …, 2025 - Elsevier
Indoor localization, powered by the Internet of Things (IoT)-based sensor fusion, represents
an evolving application that uses mobile sensors and embedded hardware within buildings …

AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems

S Pasricha - arXiv preprint arXiv:2408.04797, 2024 - arxiv.org
Indoor navigation is a foundational technology to assist the tracking and localization of
humans, autonomous vehicles, drones, and robots in indoor spaces. Due to the lack of …

Fusing Visuals with Magnetic Signals to Improve Indoor Localization Using Vision Transformer

H Rafique, D Patti, M Palesi… - 2024 14th International …, 2024 - ieeexplore.ieee.org
Sensor fusion-based indoor localization is an evolving application that uses fused
information to determine the location of smartphone users. However, the heterogeneity of …

Multi-channel convolutional neural network with attention mechanism using dual-band WiFi signals for indoor positioning systems in smart buildings

AG Kakisim, Z Turgut - Internet of Things, 2025 - Elsevier
One of the most crucial Internet of Things (IoT) services for smart buildings is the indoor
positioning service, which enables the detection of the exact location of any object within a …

AI-Driven Indoor Navigation with Mobile Embedded Systems

S Pasricha - … Conference on Hardware/Software Codesign and …, 2024 - ieeexplore.ieee.org
Indoor navigation is a foundational technology to assist the tracking and localization of
humans, autonomous vehicles, drones, and robots in indoor spaces. Due to the lack of …

Proximity-Based Adaptive Indoor Positioning Method Using Received Signal Strength Indicator

J Yoon, H Kim, S Kwon - Applied Sciences, 2024 - mdpi.com
In this paper, we propose a proximity-based adaptive positioning algorithm to address the
challenge of positioning errors in indoor localization based on RSSI (received signal …

SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization

A Singampalli, D Gufran, S Pasricha - arXiv preprint arXiv:2411.09055, 2024 - arxiv.org
Machine learning (ML) based indoor localization solutions are critical for many emerging
applications, yet their efficacy is often compromised by hardware/software variations across …

MLTL: Manifold-Based Long-Term Learning for Indoor Positioning using WiFi Fingerprinting

Y Yang, MR Azimi-Sadjadi, S Tiku… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Indoor positioning in critical infrastructure is an emerging domain of research that is set to
reinvent the way we navigate within GPS-deprived areas. The prolific pairing of …