Deep learning methods for fingerprint-based indoor positioning: A review

F Alhomayani, MH Mahoor - Journal of Location Based Services, 2020 - Taylor & Francis
Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

A Shoeibi, N Ghassemi, M Khodatars… - … Signal Processing and …, 2022 - Elsevier
Epileptic seizures are one of the most crucial neurological disorders, and their early
diagnosis will help the clinicians to provide accurate treatment for the patients. The …

A new penalty domain selection machine enabled transfer learning for gearbox fault recognition

F Shen, Y Hui, R Yan, C Sun… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The various structures and working conditions make gearbox fault recognition (GFR) more
challenging. This article presents a new penalty domain selection machine (PDSM) enabled …

Calibration-free radiomap construction based on graph map matching

R Hughes, L Tao, I Vallivaara… - 2023 13th International …, 2023 - ieeexplore.ieee.org
Global deployment of Wi-Fi radiomaps is the key to high-accuracy, low-cost positioning
systems that can provide indoor positioning at scale. Data-driven approaches to automate …

Deep Learning Methods for Fingerprint-Based Indoor and Outdoor Positioning

F Alhomayani - 2021 - search.proquest.com
Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …

Mining geometric constraints from crowd-sourced radio signals and its application to indoor positioning

C Zhou, Z Li, D Zeng, Y Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Crowd-sourcing has become a promising way to build a feature-based indoor positioning
system that has lower labour and time costs. It can make full use of the widely deployed …

Detection of Heart Disease Using Supervised Machine Learning

A Kanwal, KT Ahmad, N Aslam - VFAST Transactions on Software …, 2022 - vfast.org
One of the most prevailing and serious disease affecting human's health is Heart Disease
(HD). Early diagnosis may allow for heart disease prevention or reduction, which could …

An iterative scheme for feature based positioning using a weighted dissimilarity measure

C Zhou, A Wieser - arXiv preprint arXiv:1905.08022, 2019 - arxiv.org
We propose an iterative scheme for feature-based positioning using a new weighted
dissimilarity measure with the goal of reducing the impact of large errors among the …

[PDF][PDF] Mitigating variability issues for feature-based indoor positioning

C Zhou - 2019 - research-collection.ethz.ch
As a promising indoor positioning solution, feature-based indoor positioning systems
(FIPSs) utilizing signals of opportunity as features are capable of providing indoor location …

Participatory location fingerprinting through stationary crowd in a public or commercial indoor environment

AKMM Hossain, G Loukas - Proceedings of the 16th EAI International …, 2019 - dl.acm.org
The training phase of indoor location fingerprinting has been traditionally performed by
dedicated surveyors in a manner that is time and labour intensive. Crowdsourcing process is …