Multi-Scale Transformer and Attention Mechanism for Magnetic Spatiotemporal Sequence Localization

Q Wang, L Wang, M Fu, J Wang, L Sun… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Location-based service (LBS) is the core of Internet of Things (IoT), which serves tracking,
navigation, and monitoring. The ubiquitous magnetic signals are temporally stable and …

A multi-robot deep Q-learning framework for priority-based sanitization of railway stations

R Caccavale, M Ermini, E Fedeli, A Finzi, V Lippiello… - Applied …, 2023 - Springer
Sanitizing railway stations is a relevant issue, primarily due to the recent evolution of the
Covid-19 pandemic. In this work, we propose a multi-robot approach to sanitize railway …

Machine-learning-based user position prediction and behavior analysis for location services

H Jiang, M He, Y **, J Zeng - Information, 2021 - mdpi.com
Machine learning (ML)-based methods are increasingly used in different fields of business
to improve the quality and efficiency of services. The increasing amount of data and the …

Magnetic field-based vehicle positioning system in long tunnel environment

B Shin, JH Lee, C Yu, H Kyung, T Lee - Applied Sciences, 2021 - mdpi.com
Recently, long tunnels are becoming more prevalent in Korea, and exits are added at certain
sections of the tunnels. Thus, a navigation system should correctly guide the user toward the …

A Novel RFID Localization Approach to Smart Self-Service Borrowing and Returning System

S Bi, C Wang, J Shen, W **ang, W Ni… - … in Engineering and …, 2023 - opus.lib.uts.edu.au
The misreading problem of a passive ultra-high-frequency (UHF) radio frequency
identification (RFID) tag is a frequent problem arising in the field of librarianship …

An accurate book-localization approach based on passive ultra-high-frequency RFID

S Bi, C Wang, B Wu, Y Gong, W Ni - International Conference on …, 2021 - Springer
The misreading problem of passive ultra-high-frequency (UHF) radio frequency identification
(RFID) tag is a frequent problem in the field of librarianship. The existing solutions are …

[HTML][HTML] Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms

M Vizel, R Alimi, D Lahav, M Schultz, A Grosz, L Klein - Applied Sciences, 2025 - mdpi.com
We use an array of nine elliptical Planar Hall Effect (PHE) sensors and machine learning
algorithms to map the magnetic signal generated by a magnetic source. Based on the …

[PDF][PDF] Ensemble Voting-Based Anomaly Detection for a Smart Grid Communication Infrastructure.

H Alshede, L Nassef, N Alowidi… - Intelligent Automation & …, 2023 - cdn.techscience.cn
Advanced Metering Infrastructure (AMI) is the metering network of the smart grid that
enables bidirectional communications between each consumer's premises and the …

[HTML][HTML] An introduction to patterns for the internet of robotic things in the ambient assisted living scenario

B Andò, L Cantelli, V Catania, R Crispino… - Robotics, 2021 - mdpi.com
The Internet of Things paradigm envisions the interoperation among objects, people, and
their surrounding environment. In the last decade, the spread of IoT-based solutions has …

[HTML][HTML] FedAvg-P: Performance-Based Hierarchical Federated Learning-Based Anomaly Detection System Aggregation Strategy for Advanced Metering Infrastructure

H Alshede, K Jambi, L Nassef… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Advanced metering infrastructures (AMIs) aim to enhance the efficiency, reliability, and
stability of electrical systems while offering advanced functionality. However, an AMI collects …