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Lucie Klus
Lucie Klus
Doctoral Researcher, Tampere University
Geverifieerd e-mailadres voor tuni.fi
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A survey on wearable technology: History, state-of-the-art and current challenges
A Ometov, V Shubina, L Klus, J Skibińska, S Saafi, P Pascacio, ...
Computer Networks 193, 108074, 2021
408*2021
Deep learning based localization and HO optimization in 5G NR networks
R Klus, L Klus, D Solomitckii, M Valkama, J Talvitie
2020 International Conference on Localization and GNSS (ICL-GNSS), 1-6, 2020
222020
Rss fingerprinting dataset size reduction using feature-wise adaptive k-means clustering
L Klus, D Quezada-Gaibor, J Torres-Sospedra, ES Lohan, C Granell, ...
2020 12th International Congress on Ultra Modern Telecommunications and …, 2020
212020
Transfer learning for convolutional indoor positioning systems
R Klus, L Klus, J Talvitie, J Pihlajasalo, J Torres-Sospedra, M Valkama
2021 International Conference on Indoor Positioning and Indoor Navigation …, 2021
152021
Direct lightweight temporal compression for wearable sensor data
L Klus, R Klus, ES Lohan, C Granell, J Talvitie, M Valkama, J Nurmi
IEEE Sensors Letters 5 (2), 1-4, 2021
132021
Towards ubiquitous indoor positioning: Comparing systems across heterogeneous datasets
J Torres-Sospedra, I Silva, L Klus, D Quezada-Gaibor, A Crivello, ...
2021 International Conference on Indoor Positioning and Indoor Navigation …, 2021
122021
Data cleansing for indoor positioning Wi-Fi fingerprinting datasets
D Quezada-Gaibor, L Klus, J Torres-Sospedra, ES Lohan, J Nurmi, ...
2022 23rd IEEE International Conference on Mobile Data Management (MDM), 349-354, 2022
112022
Deep learning-based cell-level and beam-level mobility management system
R Klus, L Klus, D Solomitckii, J Talvitie, M Valkama
Sensors 20 (24), 7124, 2020
82020
Crowdsourcing solutions for data gathering from wearables
L Klus, ES Lohan, C Granell, J Nurmi
Finnish URSI Convention on Radio Science, 2019
72019
Towards accelerated localization performance across indoor positioning datasets
L Klus, D Quezada-Gaibor, J Torres-Sospedra, ES Lohan, C Granell, ...
2022 International Conference on Localization and GNSS (ICL-GNSS), 1-7, 2022
62022
Improving dbscan for indoor positioning using wi-fi radio maps in wearable and iot devices
D Quezada-Gaibor, L Klus, J Torres-Sospedra, ES Lohan, J Nurmi, ...
2020 12th International Congress on Ultra Modern Telecommunications and …, 2020
62020
Lossy Compression Methods for Performance-Restricted Wearable Devices
L Klus, ES Lohan, C Granell, J Nurmi
6*
Auto-Encoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive
D Quezada-Gaibor, L Klus, R Klus, ES Lohan, J Nurmi, M Valkama, ...
IEEE Journal of Indoor and Seamless Positioning and Navigation, 2023
12023
TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density
L Klus, R Klus, ES Lohan, J Nurmi, C Granell, M Valkama, J Talvitie, ...
Data in Brief 54, 110356, 2024
2024
EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets (Epub ahead of print)
L Klus, R Klus, J Torres-Sospedra, ES Lohan, C Granell, J Nurmi
Institute of Electrical and Electronics Engineers Inc., 2023
2023
From Compression of Wearable-based Data to Effortless Indoor Positioning
L Klus
Omakustanne/Self-published, 2023
2023
CONSUMER AWARENESS OF PRIVACY AS-PECTS IN AR MOBILE APPLICATIONS
L Klus, R Klus, C Maguire
Emerging Technology Adoption and Use, 38, 0
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Artikelen 1–17