Прати
Roman Klus
Roman Klus
Doctoral Researcher, Tampere University
Верификована је имејл адреса на tuni.fi
Наслов
Навело
Навело
Година
Neural network fingerprinting and GNSS data fusion for improved localization in 5G
R Klus, J Talvitie, M Valkama
2021 International Conference on Localization and GNSS (ICL-GNSS), 1-6, 2021
332021
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
282020
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
222021
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
152021
Machine learning based NLOS radio positioning in beamforming networks
R Klus, J Talvitie, J Vinogradova, J Torsner, M Valkama
2022 IEEE 23rd International Workshop on Signal Processing Advances in …, 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
92020
Autoencoder extreme learning machine for fingerprint-based positioning: A good weight initialization is decisive
DPQ Gaibor, L Klus, R Klus, ES Lohan, J Nurmi, M Valkama, J Huerta, ...
IEEE Journal of Indoor and Seamless Positioning and Navigation 1, 53-68, 2023
62023
Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance
R Klus, J Talvitie, J Equi, G Fodor, J Torsner, M Valkama
IEEE Transactions on Vehicular Technology, 1 - 16, 2024
42024
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
42024
EWOk: Towards efficient multidimensional compression of indoor positioning datasets
L Klus, R Klus, J Torres-Sospedra, ES Lohan, C Granell, J Nurmi
IEEE Transactions on Mobile Computing 23 (5), 3589-3604, 2023
32023
C2R: A Novel Architecture for Boosting Indoor Positioning With Scarce Data
R Klus, J Talvitie, J Torres-Sospedra, D Quezada-Gaibor, S Casteleyn, ...
IEEE Internet of Things Journal, 2024
22024
Deep Hypernetwork-based Robust Localization in Millimeter-Wave Networks
R Klus, J Talvitie, B Domae, D Cabric, M Valkama
2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio …, 2024
12024
Enabling Dynamic Indoor Localization by Employing Intersection over Union as a Metric
L Klus, R Klus, J Torres-Sospedra, ES Lohan, I Silva, C Pendão, ...
2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1-7, 2024
2024
Supplementary Data and Software for "Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance"
R Klus, J Talvitie, J Vinogradova, G Fodor, J Torsner, M Valkama
https://zenodo.org/records/12204893, 2024
2024
Supplementary materials for "EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets"
L Klus, R Klus, J Torres-Sospedra, ES Lohan, J Nurmi
https://zenodo.org/records/7954926, 2023
2023
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
Supplementary materials for "TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density"
L Klus, R Klus, ES Lohan, J Nurmi, C Granell Canut, M Valkama, J Talvitie, ...
https://zenodo.org/records/7641701, 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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Чланци 1–18