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 | 178 | 2021 |
Skibi nska A Ometov, V Shubina, L Klus J, 2021 | 29 | 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 | 12 | 2020 |
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 | 9 | 2020 |
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 | 8 | 2021 |
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 | 7 | 2021 |
Asma Channa A Ometov, V Shubina, L Klus, J Skibińska, S Saafi, P Pascacio, ... Ekaterina Svertoka, Waleed Bin Qaim, Raúl Casanova-Marqués, Sylvia Holcer …, 2021 | 7 | 2021 |
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 | 6 | 2021 |
& Lohan, ES (2021). 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, 0 | 5 | |
Crowdsourcing solutions for data gathering from wearables L Klus, ES Lohan, C Granell, J Nurmi Proceedings of XXXV Finnish URSI Convention on Radio Science, 2019 | 4 | 2019 |
Lossy Compression Methods for Performance-Restricted Wearable Devices L Klus, ES Lohan, C Granell, J Nurmi | 4* | |
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 | 3 | 2020 |
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 | 2 | 2020 |
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 | | 2022 |
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 | | 2022 |
CONSUMER AWARENESS OF PRIVACY AS-PECTS IN AR MOBILE APPLICATIONS L Klus, R Klus, C Maguire Emerging Technology Adoption and Use, 38, 0 | | |