| 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 | 31 | 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 | 27 | 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 | 22 | 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 | 15 | 2021 |
| 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 | 11 | 2022 |
| 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 | 9 | 2020 |
| 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 | 6 | 2023 |
| 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 | 4 | 2024 |
| 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 | 3 | 2023 |
| 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 | 1 | 2024 |
| 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 | 1 | 2024 |
| 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 |
| 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 | | 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 |
| 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 | | |
Mikko ValkamaTampere University, Finland在 tuni.fi 的电子邮件经过验证
